Triple
T14507865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Becca |
E340311
|
entity |
| Predicate | filmWithinFilmTitle |
P114505
|
FINISHED |
| Object | documentary about her grandparents |
—
|
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: documentary about her grandparents | Statement: [Becca, filmWithinFilmTitle, documentary about her grandparents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmWithinFilmTitle Context triple: [Becca, filmWithinFilmTitle, documentary about her grandparents]
-
A.
filmWithinFilm
Indicates that one film is depicted, referenced, or shown as existing within the narrative of another film.
-
B.
sourceFilmTitle
Indicates the title of the film from which a referenced work, element, or derivative content originates.
-
C.
hasFictionalFilmWithinPlay
Indicates that within a theatrical play, there is a fictional film that exists or is depicted as part of the play’s narrative or structure.
-
D.
film
Indicates that an entity is a movie or cinematic work, or that a relationship involves such a movie.
-
E.
includedInFilm
Indicates that one entity (such as a scene, segment, or element) is contained within or forms part of a particular film.
- F. None of above. chosen
Provenance (4 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de94e40e44819084f323f8f9982b75 |
completed | April 14, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69de5c4ccba08190a988bfda0bc9f5cb |
completed | April 14, 2026, 3:25 p.m. |
| PDg | Predicate description generation | batch_69de5fb4de14819092acdecbd201d672 |
completed | April 14, 2026, 3:39 p.m. |
Created at: April 10, 2026, 1:21 a.m.