Triple
T32465384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack Slater |
E829688
|
entity |
| Predicate | hasFilmWithinFilmTitle |
P114505
|
FINISHED |
| Object | Jack Slater III |
—
|
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: Jack Slater III | Statement: [Jack Slater, hasFilmWithinFilmTitle, Jack Slater III]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFilmWithinFilmTitle Context triple: [Jack Slater, hasFilmWithinFilmTitle, Jack Slater III]
-
A.
hasFilmNamedAfter
Indicates that one entity (typically a person, place, event, or work) serves as the inspiration or subject for a film that bears its name or is explicitly titled after it.
-
B.
hasStageNameInFilm
Indicates that an individual is credited or referred to by a particular stage name in a specific film.
-
C.
includedInFilm
Indicates that one entity (such as a scene, segment, or element) is contained within or forms part of a particular film.
-
D.
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.
-
E.
filmWithinFilmTitle
chosen
Indicates that a title refers to a fictional film that appears within another (primary) film.
- 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_69f3491ee87c81908cbf5890079c2af6 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69feced53a7c819098ec474fb7d514b0 |
completed | May 9, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69fecd9cd5288190aac8b4e04a7ee78e |
completed | May 9, 2026, 6:01 a.m. |
Created at: May 1, 2026, 12:57 a.m.