Triple
T10089546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ted Healy |
E215306
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | John Jacob Nash |
E325
|
NE FINISHED |
How this triple was built (2 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: John Jacob Nash | Statement: [Ted Healy, child, John Jacob Nash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Jacob Nash Context triple: [Ted Healy, child, John Jacob Nash]
-
A.
John Nash
John Nash was a prominent 19th-century British architect best known for reshaping central London with landmark works in the Regency style.
-
B.
John Nash
chosen
John Nash was an American mathematician renowned for his groundbreaking work in game theory, differential geometry, and partial differential equations, which profoundly influenced economics and the mathematical sciences.
-
C.
John Bailey
John Bailey is an American cinematographer renowned for his work on numerous acclaimed films, including the classic comedy "Groundhog Day."
-
D.
Richard Wechsler
Richard Wechsler is a film producer best known for his work on the acclaimed 1970 drama "Five Easy Pieces."
-
E.
Conrad Nagel
Conrad Nagel was an American film and stage actor prominent during the silent and early sound eras, known for his sophisticated leading-man roles and long career in Hollywood.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca83a1eed081908b2e9580f2ebeea7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd057e32881908bf630559af94906 |
completed | April 2, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b69cd26c8190bf4b488377dc0ce1 |
completed | April 5, 2026, 7:23 p.m. |
Created at: March 30, 2026, 9:01 p.m.