Triple
T30064507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dawson Leery |
E763990
|
entity |
| Predicate | favoriteDirector |
P168404
|
FINISHED |
| Object | Steven Spielberg |
—
|
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: Steven Spielberg | Statement: [Dawson Leery, favoriteDirector, Steven Spielberg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: favoriteDirector Context triple: [Dawson Leery, favoriteDirector, Steven Spielberg]
-
A.
directors
Indicates that one entity serves as a director (or is on the board) of another entity, such as an organization or company.
-
B.
bestDirectorFilm
Indicates that a film is the work for which a director received a Best Director award.
-
C.
directorSince
Indicates that one entity has held the role of director for another entity starting from a specified point in time.
-
D.
directorsOfFilm
Indicates the person or people who directed a given film.
-
E.
frequentDirector
Indicates that a director has collaborated with a particular entity (such as an actor, writer, or production) many times, more often than typical.
- F. None of above. chosen
Provenance (4 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_69f2247221388190a13a22c47094a0ef |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67ca5a1008190880f6da9f69c263b |
completed | May 2, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69f673c664f08190b4d66cdc305e10db |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f6749f205c81909d1aacf462912eee |
completed | May 2, 2026, 10:03 p.m. |
Created at: April 29, 2026, 6:59 p.m.