Triple
T6816800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Goldenberg |
E156782
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Seabiscuit |
E457525
|
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: Seabiscuit | Statement: [William Goldenberg, notableWork, Seabiscuit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seabiscuit Context triple: [William Goldenberg, notableWork, Seabiscuit]
-
A.
Seabiscuit
chosen
Seabiscuit is a 2003 sports drama film about an undersized Depression-era racehorse and his unlikely team, adapted from Laura Hillenbrand’s nonfiction book.
-
B.
Secretariat: The Making of a Champion
Secretariat: The Making of a Champion is a nonfiction book by William Nack that chronicles the life, racing career, and enduring legacy of the legendary Thoroughbred racehorse Secretariat.
-
C.
Babe
Babe is a critically acclaimed 1995 family film that blends live-action and animatronics to tell the story of a pig who aspires to be a sheepdog.
-
D.
Babe
Babe is the famous nickname of George Herman "Babe" Ruth, the legendary American baseball player widely regarded as one of the greatest hitters in the sport's history.
-
E.
Babe
"Babe" is a novel by American author Marianne Wiggins, known for its inventive narrative voice and exploration of complex personal relationships.
- 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_69c688298a288190af3f285d57f76bbe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d354177481908ab3cf5437c095e2 |
completed | March 27, 2026, 6:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723e0c62c8190b3b3b092ea48d4c5 |
completed | March 28, 2026, 12:42 a.m. |
Created at: March 27, 2026, 2:17 p.m.