Triple
T36182618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matinee |
E1046755
|
entity |
| Predicate | filmWithinAFilm |
P51564
|
FINISHED |
| Object | Mant! |
—
|
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: Mant! | Statement: [Matinee, filmWithinAFilm, Mant!]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmWithinAFilm Context triple: [Matinee, filmWithinAFilm, Mant!]
-
A.
filmWithinFilm
chosen
Indicates that one film is depicted, referenced, or shown as existing within the narrative of another film.
-
B.
filmWithinFilmTitle
Indicates that a title refers to a fictional film that appears within another (primary) film.
-
C.
filmMedium
Indicates the physical or technical format (such as film stock, digital, or video) in which a film is recorded or presented.
-
D.
filmContent
Indicates that one entity is the substantive material or subject matter contained within a film.
-
E.
filmBase
Indicates the primary location or headquarters from which a film-related entity (such as a production, company, or operation) is based or operates.
- 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_69f76e3c1b10819081fc7a807a71cf84 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b69b333081909cadbed3fcb8ecf5 |
completed | May 3, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c2a5f8819094ad4621d7b97e0c |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:08 p.m.