Triple
T35942716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Call Northside 777 |
E1039495
|
entity |
| Predicate | leadActorForCharacter P. J. McNeal |
P9616
|
FINISHED |
| Object | James Stewart |
—
|
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: James Stewart | Statement: [Call Northside 777, leadActorForCharacter P. J. McNeal, James Stewart]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadActorForCharacter P. J. McNeal Context triple: [Call Northside 777, leadActorForCharacter P. J. McNeal, James Stewart]
-
A.
characterVoicedBy Denis Leary
Indicates that the character is voiced by Denis Leary.
-
B.
leadActorForCharacter_MaceBrown
Indicates that a person is the primary actor portraying the character Mace Brown.
-
C.
characterVoicedBy Seann William Scott
Indicates that a character is voiced by Seann William Scott.
-
D.
leadActorForCharacter Philip Shayne
Indicates that the specified person is the primary actor portraying the character Philip Shayne.
-
E.
playedBy
chosen
Indicates that a role, character, or performance is portrayed or executed by a specific person or agent.
- 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_69f76e24bbd0819096b837d35371639a |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fbad1e94988190b86d447a68e65067 |
completed | May 6, 2026, 9:05 p.m. |
| PD | Predicate disambiguation | batch_69fba881b8e0819094790935152b99a1 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:07 p.m.