Triple
T17658874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diamonds Are a Girl’s Best Friend |
E440195
|
entity |
| Predicate | settingInFilmNumber |
P52439
|
FINISHED |
| Object | lavish stage performance |
—
|
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: lavish stage performance | Statement: [Diamonds Are a Girl’s Best Friend, settingInFilmNumber, lavish stage performance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingInFilmNumber Context triple: [Diamonds Are a Girl’s Best Friend, settingInFilmNumber, lavish stage performance]
-
A.
filmSeriesInstallmentNumber
Indicates the specific sequential position that a film occupies within a film series.
-
B.
sequenceInFilm
Indicates that one entity is a specific sequence or segment that appears within the narrative or structure of a particular film.
-
C.
disneyPixarFilmNumber
Indicates the ordinal position or sequence number assigned to a film within the catalog of Disney-Pixar movies.
-
D.
filmSetting
chosen
Indicates the place, time, or environment in which the events of a film are set or take place.
-
E.
versionUsedInFilm
Indicates that a particular version or edition of a work is the one that was used in a specific 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46ea469448190b2753571f8493aef |
completed | April 19, 2026, 5:56 a.m. |
| PD | Predicate disambiguation | batch_69e3cde007d8819090dd92eea9f022cc |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 9:37 a.m.