Triple
T550773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jackie Brown |
E11833
|
entity |
| Predicate | chronologyInTarantinoFeatures |
P10630
|
FINISHED |
| Object | third feature film directed by Quentin Tarantino |
—
|
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: third feature film directed by Quentin Tarantino | Statement: [Jackie Brown, chronologyInTarantinoFeatures, third feature film directed by Quentin Tarantino]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chronologyInTarantinoFeatures Context triple: [Jackie Brown, chronologyInTarantinoFeatures, third feature film directed by Quentin Tarantino]
-
A.
storyTimeSpanInFilm
Indicates the duration of time that the story or narrative covers within the film.
-
B.
filmSeries
Indicates that a film is part of, or associated with, a larger film series or franchise.
-
C.
narrativeFeature
Indicates that one element functions as a narrative-related characteristic, device, or structural component of another.
-
D.
chronologicalPosition
chosen
Indicates the relative ordering of one event or entity in time with respect to another.
-
E.
sequelSpecialReleaseYear
Indicates the year in which a sequel received a special or re-released version.
- 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_69a4932941d08190815efd422f0b4ca7 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a499030cf4819089b9163102255e49 |
completed | March 1, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69a494bae210819093c2e0d33a8ca51a |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:32 p.m.