Triple
T20221795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gus the Theatre Cat |
E495272
|
entity |
| Predicate | franchise |
P1500
|
FINISHED |
| Object | Cats (franchise) |
—
|
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: Cats (franchise) | Statement: [Gus the Theatre Cat, franchise, Cats (franchise)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cats (franchise) Context triple: [Gus the Theatre Cat, franchise, Cats (franchise)]
-
A.
Cats (franchise)
chosen
Cats is a globally popular musical franchise, based on T.S. Eliot’s poetry and Andrew Lloyd Webber’s stage production, centered on a tribe of anthropomorphic cats and their stories.
-
B.
Catz
Catz is the surname of Safra Catz, a prominent business executive best known as the CEO of Oracle Corporation.
-
C.
Catz
Catz is a small commune in the Manche department of northwestern France, situated in the historic Normandy region.
-
D.
Catz
Catz is the informal nickname for St Catharine’s College, one of the constituent colleges of the University of Cambridge.
-
E.
Vader Cats
Vader Cats is the honorific title of Jacob Cats, a prominent 17th-century Dutch poet, jurist, and statesman often regarded as a paternal moralist figure in Dutch culture.
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66fd610f881908fdd22b1f8bd2efc |
completed | April 20, 2026, 6:26 p.m. |
Created at: April 11, 2026, 11:39 p.m.