Triple
T35726666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pacific Station |
E1032633
|
entity |
| Predicate | leadActorForCharacter Detective Sandy Calloway |
P186992
|
FINISHED |
| Object | Megan Gallagher |
—
|
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: Megan Gallagher | Statement: [Pacific Station, leadActorForCharacter Detective Sandy Calloway, Megan Gallagher]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadActorForCharacter Detective Sandy Calloway Context triple: [Pacific Station, leadActorForCharacter Detective Sandy Calloway, Megan Gallagher]
-
A.
leadActorForCharacter Detective Richard Capparelli
Indicates that the specified person is the primary actor portraying the character Detective Richard Capparelli.
-
B.
portrayedDetective
Indicates that one entity has played or depicted a detective character in a performance or work.
-
C.
actorForCharacterSheriffGilCorrigan
Indicates that an entity is the actor who portrays the character Sheriff Gil Corrigan.
-
D.
leadActorForCharacter Buz Murdock
Indicates that the specified person is the primary actor portraying the character Buz Murdock.
-
E.
leadActorForCharacter_CharlesDexterWard
Indicates that a person is the lead actor portraying the character Charles Dexter Ward in a given production.
- 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_69f76e102b5881909e5d63a30a5cecbe |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fb2e940d5c8190bceae77daf4ef512 |
completed | May 6, 2026, 12:05 p.m. |
| PD | Predicate disambiguation | batch_69f9fec70bd881909c658a3c5020318b |
completed | May 5, 2026, 2:29 p.m. |
| PDg | Predicate description generation | batch_69fb2e9309fc81909dfefd9020d6fbad |
completed | May 6, 2026, 12:05 p.m. |
Created at: May 3, 2026, 4:05 p.m.