Triple
T35726667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pacific Station |
E1032633
|
entity |
| Predicate | leadActorForCharacter Sergeant Al Burkhardt |
P187088
|
FINISHED |
| Object | John Hancock |
—
|
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: John Hancock | Statement: [Pacific Station, leadActorForCharacter Sergeant Al Burkhardt, John Hancock]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadActorForCharacter Sergeant Al Burkhardt Context triple: [Pacific Station, leadActorForCharacter Sergeant Al Burkhardt, John Hancock]
-
A.
leadActorForCharacter Buz Murdock
Indicates that the specified person is the primary actor portraying the character Buz Murdock.
-
B.
actorForCharacterSheriffGilCorrigan
Indicates that an entity is the actor who portrays the character Sheriff Gil Corrigan.
-
C.
characterPlayedBy_Ed Lauter
Indicates that a given character is portrayed or acted by Ed Lauter.
-
D.
characterVoicedBy Gary Sinise
Indicates that the character is voiced by Gary Sinise.
-
E.
characterVoicedBy Denis Leary
Indicates that the character is voiced by Denis Leary.
- 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_69fb3425666081908916fcbf3b5dd907 |
completed | May 6, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_69fb2f5f3164819099429c2cc3d24e01 |
completed | May 6, 2026, 12:09 p.m. |
| PDg | Predicate description generation | batch_69fb3424724c8190ba55ecf66fa0b171 |
completed | May 6, 2026, 12:29 p.m. |
Created at: May 3, 2026, 4:05 p.m.