Triple
T22764637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moon Theater |
E563088
|
entity |
| Predicate | conditionAtStartOfFilm |
P131402
|
FINISHED |
| Object | financially struggling |
—
|
LITERAL 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: financially struggling | Statement: [Moon Theater, conditionAtStartOfFilm, financially struggling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conditionAtStartOfFilm Context triple: [Moon Theater, conditionAtStartOfFilm, financially struggling]
-
A.
statusAtStartOfFilm
chosen
Indicates the condition or situation an entity is in at the beginning of the film.
-
B.
worksForAtStartOfFilm
Indicates that one entity is employed by or working for another entity at the beginning of the film's narrative.
-
C.
legalStatusAtStartOfFilm
Indicates the legal condition or standing an entity has at the beginning of the film’s narrative.
-
D.
beginsWithFilm
Indicates that one entity (typically a series, collection, or sequence) starts or is initiated with a particular film as its first element.
-
E.
statusAtEndOfFilm
Indicates the condition or situation an entity is in when the film concludes.
- F. None of above.
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_69e24552e11c81909c2d61578a558bd7 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17a7f56848190b5e90f9916a5b349 |
completed | April 29, 2026, 3:26 a.m. |
| PD | Predicate disambiguation | batch_69eed2b88d88819096015deb6a648801 |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:26 p.m.