Triple
T31233170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bobby Dan Davis Blocker |
E796340
|
entity |
| Predicate | stage actor},{ |
P124623
|
FINISHED |
| Object | stage actor |
—
|
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: stage actor | Statement: [Bobby Dan Davis Blocker, stage actor},{, stage actor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stage actor},{
Context triple: [Bobby Dan Davis Blocker, stage actor},{, stage actor]
-
A.
airedStarringActor
Indicates that a specific airing of a program featured a particular actor in a starring role.
-
B.
actress
Indicates that the subject is a female performer who acts in films, television, theater, or other dramatic productions.
-
C.
employedActor
Indicates that one entity has hired or currently employs another entity to perform work or services.
-
D.
notableActorInStageProduction
chosen
Indicates that a person is a distinguished or prominent actor in a particular stage production.
-
E.
actorRole
Indicates that an entity participates in an event or action in a specific capacity or function (such as performer, initiator, or responsible party).
- 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_69f224db69ac81909a370adad6a7ac7c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69dfdda708190be290c7bec205445 |
completed | May 3, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69f69d1a37e081908d1d86b90ff502bd |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 29, 2026, 9:10 p.m.