Triple
T18438909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susanna Fogel |
E450471
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object | Cat Person |
E1323663
|
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: Cat Person | Statement: [Susanna Fogel, directed, Cat Person]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cat Person Context triple: [Susanna Fogel, directed, Cat Person]
-
A.
Cat Person
chosen
Cat Person is a 2023 psychological thriller film directed by Susanna Fogel, adapted from Kristen Roupenian’s viral New Yorker short story about a fraught modern dating encounter.
-
B.
Cat
Cat is a feline character in Maurice Ravel’s opera "L’enfant et les sortilèges," known for its expressive, anthropomorphic role in the magical, surreal narrative.
-
C.
Cat
Cat is the NATO reporting name for the Antonov An-10, a Soviet four-engined turboprop airliner introduced in the late 1950s.
-
D.
the Cat
The Cat is a sly, cautious feline character in Sergei Prokofiev’s musical fairy tale "Peter and the Wolf," represented by the clarinet in the orchestra.
-
E.
KittyCat
KittyCat is likely a companion or complementary service to CityCat, potentially offering related urban or pet-focused features within the same ecosystem.
- 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_69d8d381d6388190a9e94e9c658174e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e51c0ed6708190ae90efd8455ec352 |
completed | April 19, 2026, 6:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a040fdb4c648190aa56212c3c1e15ce |
completed | May 13, 2026, 5:44 a.m. |
Created at: April 10, 2026, 11:30 a.m.