Triple
T37128065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garry Shandling as Verne |
E919440
|
entity |
| Predicate | coStarsIncludeActor |
P174593
|
FINISHED |
| Object | Bruce Willis as RJ |
—
|
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: Bruce Willis as RJ | Statement: [Garry Shandling as Verne, coStarsIncludeActor, Bruce Willis as RJ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coStarsIncludeActor Context triple: [Garry Shandling as Verne, coStarsIncludeActor, Bruce Willis as RJ]
-
A.
hasSiblingCoStars
Indicates that two or more entities have appeared together as co-stars and are siblings in relation to each other.
-
B.
directorAlsoStarred
Indicates that the person who directed a work also acted or performed as a star in that same work.
-
C.
filmCoStar
Indicates that two people appeared together as co-actors in the same film.
-
D.
starredActorWith
chosen
Indicates that one entity participated as an actor in a production together with another specified actor.
-
E.
notableCastWorkedWith
Indicates that there is a notable professional collaboration or working relationship between members of a cast.
- 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_69f76e9d13e48190a108f7fbf80ff375 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb55de3b9c8190a7656aeab3c3ffbc |
completed | May 6, 2026, 2:53 p.m. |
| PD | Predicate disambiguation | batch_69fb35bc92e08190bff447624e2df791 |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:15 p.m.