Triple
T31051255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Variety Girl |
E791271
|
entity |
| Predicate | featuresStudioCameos |
P202065
|
FINISHED |
| Object | Paramount Pictures stars |
—
|
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: Paramount Pictures stars | Statement: [Variety Girl, featuresStudioCameos, Paramount Pictures stars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresStudioCameos Context triple: [Variety Girl, featuresStudioCameos, Paramount Pictures stars]
-
A.
featuresCast
Indicates that a creative work includes a particular person or group as part of its cast.
-
B.
studioOfFilmAppearance
Indicates that a studio is the production or distribution company associated with a particular film appearance.
-
C.
laterFeaturedCastFrom
Indicates that one entity appears as a featured cast member in a later work, episode, or installment relative to another entity.
-
D.
filmCoStar
Indicates that two people appeared together as co-actors in the same film.
-
E.
filmCharacterOf
Indicates that a person or character is a character appearing in a specified film.
- 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_69f224cb08908190ba71ad9aa87518ed |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a004b6ad4248190b402a0d01b0ebf83 |
completed | May 10, 2026, 9:10 a.m. |
| PD | Predicate disambiguation | batch_6a004ae736b881908a0efed8f63f982e |
completed | May 10, 2026, 9:07 a.m. |
| PDg | Predicate description generation | batch_6a004b69d8788190965dcf3653ac88a9 |
completed | May 10, 2026, 9:10 a.m. |
Created at: April 29, 2026, 9 p.m.