Triple
T4753604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adolf |
E105533
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Adolf Anderssen
Adolf Anderssen was a 19th-century German chess master renowned as one of the strongest players of his era and for his brilliant attacking games such as the "Immortal Game."
|
E238968
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Adolf Anderssen | Statement: [Adolf, hasNotableBearer, Adolf Anderssen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adolf Anderssen Context triple: [Adolf, hasNotableBearer, Adolf Anderssen]
-
A.
Anderssen
Anderssen is a surname of likely Scandinavian or German origin, used as a variant of the more common name Anderson.
-
B.
Emanuel Lasker
Emanuel Lasker was a German mathematician and the second World Chess Champion, renowned for holding the title for a record 27 years from 1894 to 1921.
-
C.
Lasker
Lasker is a surname most famously associated with figures such as Emanuel Lasker, the long-reigning World Chess Champion, and Albert Lasker, a pioneering American advertising executive.
-
D.
Arthur Guez
Arthur Guez is a machine learning researcher known for his contributions to deep reinforcement learning, including co-developing the Double DQN algorithm.
-
E.
Mikhail Botvinnik
Mikhail Botvinnik was a Soviet chess grandmaster and World Chess Champion widely regarded as one of the greatest and most influential players in chess history.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Adolf Anderssen Triple: [Adolf, hasNotableBearer, Adolf Anderssen]
Generated description
Adolf Anderssen was a 19th-century German chess master renowned as one of the strongest players of his era and for his brilliant attacking games such as the "Immortal Game."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Adolf Anderssen Target entity description: Adolf Anderssen was a 19th-century German chess master renowned as one of the strongest players of his era and for his brilliant attacking games such as the "Immortal Game."
-
A.
Anderssen
chosen
Anderssen is a surname of likely Scandinavian or German origin, used as a variant of the more common name Anderson.
-
B.
Emanuel Lasker
Emanuel Lasker was a German mathematician and the second World Chess Champion, renowned for holding the title for a record 27 years from 1894 to 1921.
-
C.
Lasker
Lasker is a surname most famously associated with figures such as Emanuel Lasker, the long-reigning World Chess Champion, and Albert Lasker, a pioneering American advertising executive.
-
D.
Arthur Guez
Arthur Guez is a machine learning researcher known for his contributions to deep reinforcement learning, including co-developing the Double DQN algorithm.
-
E.
Mikhail Botvinnik
Mikhail Botvinnik was a Soviet chess grandmaster and World Chess Champion widely regarded as one of the greatest and most influential players in chess history.
- F. None of above.
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd43f07fa48190954317d01600994a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64e72d1c81908eb60960751e52b1 |
completed | March 20, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be3a6600e481909c3fb1decf23d7d8 |
completed | March 21, 2026, 6:27 a.m. |
| NEDg | Description generation | batch_69be3d05e8a081908cdcb37620078fa6 |
completed | March 21, 2026, 6:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be3daa7e0081908971df65613c9df6 |
completed | March 21, 2026, 6:41 a.m. |
Created at: March 20, 2026, 1:20 p.m.