Triple
T37798662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strike One |
E942306
|
entity |
| Predicate | hasHumanActor |
P145332
|
FINISHED |
| Object | Zahn McClarnon |
—
|
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: Zahn McClarnon | Statement: [Strike One, hasHumanActor, Zahn McClarnon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHumanActor Context triple: [Strike One, hasHumanActor, Zahn McClarnon]
-
A.
hasHumanCast
chosen
Indicates that a work or production features human performers as part of its cast.
-
B.
hasCrewMember
Indicates that an entity includes or employs another entity as a member of its crew.
-
C.
hasDubActor
Indicates that one entity serves as the dubbing voice actor for another entity in a particular work or version.
-
D.
hasHumanCharacterRole
Indicates that an entity is assigned a role or function specifically associated with a human character within a context such as a story, performance, or representation.
-
E.
hasDirectedActor
Indicates that an entity has served as the director of another entity, such as a film, play, 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_69f76ee6f1f4819091e2cf9c9e6aee19 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc995dc2481908b3bd4217f8101e7 |
completed | May 6, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ee04f08190977b7ad70fc85896 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:19 p.m.