Triple
T32738760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miserlou |
E837161
|
entity |
| Predicate | featuredInFilmDirector |
P162845
|
FINISHED |
| Object | Quentin Tarantino |
—
|
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: Quentin Tarantino | Statement: [Miserlou, featuredInFilmDirector, Quentin Tarantino]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuredInFilmDirector Context triple: [Miserlou, featuredInFilmDirector, Quentin Tarantino]
-
A.
featuredInDirector
Indicates that an entity appears as a featured element within a director’s work, such as a film, show, or other directed production.
-
B.
featuredInFilmBy
chosen
Indicates that an entity is prominently included or showcased within a film that is created, directed, or produced by a specified person or organization.
-
C.
portrayedInFilmDirectedBy
Indicates that one entity is portrayed as a character in a film that is directed by another specified entity.
-
D.
appearedInFilmDirectedBy
Indicates that an entity appeared in a film whose director is the specified other entity.
-
E.
filmDirectorOfAppearance
Indicates that a person served as the director for a specific appearance or segment within a film or audiovisual work.
- 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_69f34936e1748190b797e406e4e9293a |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a01378bf05c8190af9f5e06a2810c7d |
completed | May 11, 2026, 1:57 a.m. |
| PD | Predicate disambiguation | batch_6a0137277c6c8190bcec341f2a0757c4 |
completed | May 11, 2026, 1:55 a.m. |
Created at: May 1, 2026, 1:12 a.m.