Triple
T9997222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francesca Hayward |
E197230
|
entity |
| Predicate | notableWork |
P4
|
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: [Francesca Hayward, notableWork, Cats (2019 film)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cats (2019 film) Context triple: [Francesca Hayward, notableWork, 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.
Cats (1998 video)
Cats (1998 video) is a filmed stage production of Andrew Lloyd Webber’s hit musical "Cats," featuring the original London cast performing the show for home video release.
-
C.
Fat Cats
Fat Cats is a music video director known for directing the video for the song "Grillz."
-
D.
Cats (musical)
Cats (musical) is a long-running Andrew Lloyd Webber stage musical, based on T. S. Eliot’s whimsical poems, that tells the story of a tribe of cats through song and dance.
-
E.
Los Gatos
Los Gatos is an affluent town in California’s Silicon Valley known for its historic downtown, upscale residential neighborhoods, and proximity to major tech companies.
- 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_69ca82f3b61c81908ecc2c1c96dbc2e4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdcc8aa1a881909879a694496f11a5 |
completed | April 2, 2026, 1:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2583bd6948190b15a97187e81d958 |
completed | April 5, 2026, 12:40 p.m. |
Created at: March 30, 2026, 8:51 p.m.