Triple
T1748881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cats (2019 film) |
E38394
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | Cats (musical) |
E115051
|
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 (musical) | Statement: [Cats (2019 film), basedOn, Cats (musical)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cats (musical) Context triple: [Cats (2019 film), basedOn, Cats (musical)]
-
A.
Cats (musical)
chosen
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.
-
B.
Cats (2019 film)
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.
-
C.
Cat Country
Cat Country is a themed exhibit at the Memphis Zoo that showcases a variety of wild feline species in naturalistic habitats.
-
D.
Curtains (musical)
Curtains is a comedic murder-mystery musical set in 1950s Boston, featuring music and lyrics by Kander and Ebb and a book by Rupert Holmes.
-
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_69a8862b01a48190ab47209063af82d9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa63ee4d2081909dfd6d3244228c56 |
completed | March 6, 2026, 5:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada0e21e58819082943212bd725581 |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 4, 2026, 7:31 p.m.