Triple
T11995258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tobey Maguire |
E285512
|
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: [Tobey Maguire, notableWork, Seabiscuit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seabiscuit Context triple: [Tobey Maguire, 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.
The Greatest Show
"The Greatest Show" is the high-energy opening ensemble number from the musical film *The Greatest Showman*, known for its theatrical flair and anthemic celebration of showmanship.
-
D.
Babe
"Babe" is a 1990s pop song by the British boy band Take That, known as one of their early hit ballads.
-
E.
Babe
Babe is a civil parish located within the municipality of Bragança in northeastern Portugal.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903b211688190bfe6dd15c3f96d2f |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f47273e1088190b899071baff1375a |
completed | May 1, 2026, 9:29 a.m. |
Created at: April 8, 2026, 9:46 p.m.