Triple
T10152041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karl Elliger |
E232667
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Elliger
Elliger is a German-language surname most notably associated with the Baroque painter Karl Elliger.
|
E843141
|
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: Elliger | Statement: [Karl Elliger, familyName, Elliger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elliger Context triple: [Karl Elliger, familyName, Elliger]
-
A.
Dolph Heyliger
Dolph Heyliger is a fictional character from Washington Irving’s collection "Bracebridge Hall," known for his adventurous exploits and supernatural encounters.
-
B.
Keefer
Keefer was a distinguished racing greyhound renowned for its achievements on the track, earning induction into the Greyhound Hall of Fame.
-
C.
Altobelli
Altobelli is an Italian surname most notably associated with figures in professional baseball and football, including former MLB manager Joe Altobelli.
-
D.
Siebert
Siebert is a surname most notably associated with Sonny Siebert, an American Major League Baseball pitcher active in the 1960s and 1970s.
-
E.
Ottis
Ottis is a masculine given name most notably borne by former NFL running back Ottis Anderson.
- 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: Elliger Triple: [Karl Elliger, familyName, Elliger]
Generated description
Elliger is a German-language surname most notably associated with the Baroque painter Karl Elliger.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elliger Target entity description: Elliger is a German-language surname most notably associated with the Baroque painter Karl Elliger.
-
A.
Dolph Heyliger
Dolph Heyliger is a fictional character from Washington Irving’s collection "Bracebridge Hall," known for his adventurous exploits and supernatural encounters.
-
B.
Keefer
Keefer was a distinguished racing greyhound renowned for its achievements on the track, earning induction into the Greyhound Hall of Fame.
-
C.
Altobelli
Altobelli is an Italian surname most notably associated with figures in professional baseball and football, including former MLB manager Joe Altobelli.
-
D.
Siebert
Siebert is a surname most notably associated with Sonny Siebert, an American Major League Baseball pitcher active in the 1960s and 1970s.
-
E.
Ottis
Ottis is a masculine given name most notably borne by former NFL running back Ottis Anderson.
- F. None of above. chosen
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_69ca84885e48819088a31b127cf44904 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec361c7c8190b8fd841d728d5bbe |
completed | April 2, 2026, 4:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e640d1e0819094d30556ccb958b0 |
completed | April 5, 2026, 10:46 p.m. |
| NEDg | Description generation | batch_69d2e750ceb08190bcb2d1b4c248b30d |
completed | April 5, 2026, 10:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2e7c486ec819085ad0019ab12de2a |
completed | April 5, 2026, 10:52 p.m. |
Created at: March 30, 2026, 9:08 p.m.