Triple
T24474797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Rock, Arizona |
E617201
|
entity |
| Predicate | appearsInFilmStarring |
P74071
|
FINISHED |
| Object | Spencer Tracy |
—
|
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: Spencer Tracy | Statement: [Black Rock, Arizona, appearsInFilmStarring, Spencer Tracy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInFilmStarring Context triple: [Black Rock, Arizona, appearsInFilmStarring, Spencer Tracy]
-
A.
characterInFilmReleasedIn
Indicates that a character appears in a film that was released in a specified year or time period.
-
B.
actsIn
chosen
Indicates that an entity performs or appears in a creative work, such as a film, play, or show.
-
C.
givenNameInFilm
Indicates that a person is referred to by a particular given (first) name within the context of a specific film.
-
D.
producedFilmStarring
Indicates that a person or company produced a film in which a specified actor or set of actors starred.
-
E.
partOfFilmographyOf
Indicates that a work (such as a film, show, or role) is included in the body of screen-related works credited to a particular person.
- 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_69e2d7f197588190889a03e620558059 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29947084081908895573a4a4e4822 |
completed | April 29, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69f287d76c7c81909494f12e606a9149 |
completed | April 29, 2026, 10:36 p.m. |
Created at: April 18, 2026, 2:20 a.m.