Triple
T35053181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fever (1980 film) |
E1011387
|
entity |
| Predicate | hasDirectorWhoIsAlsoStar |
P106880
|
FINISHED |
| Object | Julie Bovasso |
—
|
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: Julie Bovasso | Statement: [Fever (1980 film), hasDirectorWhoIsAlsoStar, Julie Bovasso]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDirectorWhoIsAlsoStar Context triple: [Fever (1980 film), hasDirectorWhoIsAlsoStar, Julie Bovasso]
-
A.
hasDirectorStar
chosen
Indicates that a person both directed and starred in the same work (e.g., film, show, or production).
-
B.
leadActorAlsoDirector
Indicates that the person who plays the lead acting role in a production is also the director of that same production.
-
C.
hasDirectorScreenwriter
Indicates that a director is also the screenwriter (or one of the screenwriters) for a given work.
-
D.
starredActorWith
Indicates that one entity participated as an actor in a production together with another specified actor.
-
E.
starredActor
Indicates that an actor performed a leading or significant role in a particular production or 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_69f76dcfdda48190b1ebae5da8b54f12 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff2eb19ad88190915fbbe08e8bc84e |
completed | May 9, 2026, 12:55 p.m. |
| PD | Predicate disambiguation | batch_69ff2db5dd608190b7b7ba95f19c276c |
completed | May 9, 2026, 12:51 p.m. |
Created at: May 3, 2026, 4:01 p.m.