Triple
T552445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Hooper |
E11868
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object | Cats (2019 film) |
E38394
|
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: Cats (2019 film) | Statement: [Tom Hooper, directed, Cats (2019 film)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cats (2019 film) Context triple: [Tom Hooper, directed, Cats (2019 film)]
-
A.
Cats (2019 film)
chosen
Cats (2019 film) is a 2019 musical fantasy film adaptation of Andrew Lloyd Webber’s stage musical, featuring an ensemble cast and extensive use of CGI to portray anthropomorphic felines.
-
B.
Coco
Coco is a 2017 Pixar animated film that follows a young Mexican boy’s journey through the Land of the Dead as he uncovers his family’s history and celebrates Día de los Muertos.
-
C.
Wildcats
Wildcats is the nickname for the University of Arizona’s athletic teams, most prominently its NCAA Division I football program.
-
D.
Paws
Paws is the costumed team mascot of the WNBA’s Washington Mystics, entertaining fans at games and events.
-
E.
Turning Red
Turning Red is a 2022 Pixar animated coming-of-age film about a 13-year-old girl who transforms into a giant red panda whenever her emotions run high.
- 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_69a4932941d08190815efd422f0b4ca7 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a499047bd4819089ca8345f1b6e46c |
completed | March 1, 2026, 7:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4e632e7c48190b211f7fcc4903dea |
completed | March 2, 2026, 1:21 a.m. |
Created at: March 1, 2026, 7:32 p.m.