Triple
T33989529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Searching |
E871504
|
entity |
| Predicate | leadActorFirstAsianAmericanInHollywoodThriller |
P184035
|
FINISHED |
| Object | John Cho |
—
|
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: John Cho | Statement: [Searching, leadActorFirstAsianAmericanInHollywoodThriller, John Cho]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadActorFirstAsianAmericanInHollywoodThriller Context triple: [Searching, leadActorFirstAsianAmericanInHollywoodThriller, John Cho]
-
A.
leadActorEthnicity
Indicates the ethnic background or identity of the primary (lead) actor in a work.
-
B.
leadActorOfWinningFilm
Indicates that a person is the lead actor in a film that has won a specified award or competition.
-
C.
leadRoleActor
Indicates that an actor performs a leading or principal role in a work or production.
-
D.
leadActress
Indicates that the subject is the primary female performer in the specified film, show, or production.
-
E.
leadActorBreakthrough
Indicates that the actor had a breakthrough or career-defining leading role in the referenced work or context.
- 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_69f3499e964c8190b674b03f6f791b4b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7aaabb58c8190bf81673608ecfb6e |
completed | May 3, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69f7a8cec6d48190bebfa884b2f938c0 |
completed | May 3, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f7aa6795f481908940838ee7041ff5 |
completed | May 3, 2026, 8:04 p.m. |
Created at: May 1, 2026, 1:50 a.m.