Triple
T19995596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jellicle cats |
E494183
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Grizabella |
—
|
NE NERFINISHED |
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: Grizabella | Statement: [Jellicle cats, hasMember, Grizabella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grizabella Context triple: [Jellicle cats, hasMember, Grizabella]
-
A.
Grizabella
chosen
Grizabella is the faded, once-glamorous “Glamour Cat” in Andrew Lloyd Webber’s musical *Cats*, best known for singing the show’s signature song “Memory.”
-
B.
The Rum Tum Tugger
The Rum Tum Tugger is a flamboyant, attention-seeking cat character from T. S. Eliot’s poetry, later popularized in Andrew Lloyd Webber’s musical "Cats."
-
C.
Munkustrap
Munkustrap is a central, silver-tabby Jellicle cat who serves as the protective narrator and de facto leader of the tribe in the musical "Cats."
-
D.
Ortensia the Cat
Ortensia the Cat is a classic Disney cartoon character, a black-and-white anthropomorphic cat best known as the love interest and partner of Oswald the Lucky Rabbit in early animated shorts.
-
E.
Macavity
Macavity is a mysterious master criminal cat from T. S. Eliot’s poetry, famously dubbed “the Napoleon of Crime.”
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fe3fb288190a935c334e8a5d54e |
completed | April 20, 2026, 5:18 p.m. |
Created at: April 11, 2026, 3:31 p.m.