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.