Triple
T1216121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Man That Got Away |
E26109
|
entity |
| Predicate | settingInFilm |
P22734
|
FINISHED |
| Object | nightclub performance scene |
—
|
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: nightclub performance scene | Statement: [The Man That Got Away, settingInFilm, nightclub performance scene]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingInFilm Context triple: [The Man That Got Away, settingInFilm, nightclub performance scene]
-
A.
includedInFilm
chosen
Indicates that one entity (such as a scene, segment, or element) is contained within or forms part of a particular film.
-
B.
usedInTheatre
Indicates that something is employed or applied within the context of a theatre or theatrical production.
-
C.
subjectOfFilm
Indicates that a person, character, or topic is the main focus or central topic depicted in a particular film.
-
D.
inFilmAndTV
Indicates that the subject appears or is featured within the context of film and television works.
-
E.
filmLocationFor
Indicates a relationship where a specific place serves as the filming location for a particular film or production.
- 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_69a4948331fc8190b531ac9bec71c491 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be059c5c8190a200f09442c22334 |
completed | March 1, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69a4bb62a7c08190a79dcb6ff72ac99b |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:46 p.m.