Triple
T19527268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Sinatra as John Baron |
E488558
|
entity |
| Predicate | careerSignificanceForActor |
P131071
|
FINISHED |
| Object | one of Frank Sinatra’s key dramatic roles |
—
|
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: one of Frank Sinatra’s key dramatic roles | Statement: [Frank Sinatra as John Baron, careerSignificanceForActor, one of Frank Sinatra’s key dramatic roles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: careerSignificanceForActor Context triple: [Frank Sinatra as John Baron, careerSignificanceForActor, one of Frank Sinatra’s key dramatic roles]
-
A.
leadActorOccupation
Indicates that the occupation specified is the primary professional role of the lead actor in a given work or context.
-
B.
occupationInFilm
Indicates that an entity has a specific occupation or role within the context of a particular film.
-
C.
characterIndustry
Indicates a relationship where a character is associated with, works in, or is otherwise linked to a particular industry or economic sector.
-
D.
actorKnownFor
chosen
Indicates that an actor is widely recognized or notable for a particular work, role, or contribution.
-
E.
laterKnownFor
Indicates that an entity became recognized or notable for something at a later time than the context or event currently being referred to.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6363c2660819093a6b9a444ca0ad4 |
completed | April 20, 2026, 2:20 p.m. |
| PD | Predicate disambiguation | batch_69e514c9c00481909b76bda67957e58b |
completed | April 19, 2026, 5:45 p.m. |
Created at: April 10, 2026, 1:41 p.m.