Triple
T19995606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jellicle cats |
E494183
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Bombalurina |
—
|
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: Bombalurina | Statement: [Jellicle cats, hasMember, Bombalurina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bombalurina Context triple: [Jellicle cats, hasMember, Bombalurina]
-
A.
Bombalurina
chosen
Bombalurina is a flirtatious and confident red queen cat character from the musical "Cats," known for her prominent singing and dancing roles, especially in the song "Macavity."
-
B.
Catita
Catita is a Spanish diminutive form of the female given name Catalina, often used as an affectionate nickname.
-
C.
Maazel
Maazel is the surname of Lorin Maazel, a renowned 20th-century conductor and violinist known for leading major orchestras worldwide.
-
D.
Melfina
Melfina is a mysterious bio-android and key crew member of the spaceship Outlaw Star in the anime series of the same name.
-
E.
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.
- 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.