Triple
T35726664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pacific Station |
E1032633
|
entity |
| Predicate | leadActorForCharacter Captain Ken Epstein |
P166850
|
FINISHED |
| Object | Robert Guillaume |
—
|
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: Robert Guillaume | Statement: [Pacific Station, leadActorForCharacter Captain Ken Epstein, Robert Guillaume]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadActorForCharacter Captain Ken Epstein Context triple: [Pacific Station, leadActorForCharacter Captain Ken Epstein, Robert Guillaume]
-
A.
captainInEpisode
Indicates that a person serves as the captain in a specific episode.
-
B.
leadActorFinalTelevisionSeries
Indicates that the subject is the main actor in the final television series of the referenced entity.
-
C.
characterPlayedBy_Ed Lauter
Indicates that a given character is portrayed or acted by Ed Lauter.
-
D.
leadActorForCharacter Buz Murdock
Indicates that the specified person is the primary actor portraying the character Buz Murdock.
-
E.
leadRoleActor
chosen
Indicates that an actor performs a leading or principal role in a work or production.
- 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_69f76e102b5881909e5d63a30a5cecbe |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:05 p.m.