Triple
T32244323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howard Payne |
E823704
|
entity |
| Predicate | isVillainType |
P152539
|
FINISHED |
| Object | terrorist |
—
|
LITERAL FINISHED |
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: terrorist | Statement: [Howard Payne, isVillainType, terrorist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isVillainType Context triple: [Howard Payne, isVillainType, terrorist]
-
A.
isTypeOfVillain
chosen
Indicates that one entity is classified as a particular type or category of villain in relation to another entity.
-
B.
hasVillain
Indicates that one entity is the villain or primary antagonist associated with another entity.
-
C.
hasVillainFactionClasses
Indicates that certain classes or categories are associated with, or belong to, a villainous faction.
-
D.
isVigilante
Indicates that an entity takes the law into their own hands, acting outside official authority to pursue or punish perceived wrongdoers.
-
E.
villainRank1
Indicates that the entity is classified as the primary or top-ranked villain in a given context or hierarchy.
- 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_69f3490cdda88190a9d61e11252a771f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bc32ea2c8190b1cb870c14b05821 |
completed | May 3, 2026, 3:08 a.m. |
| PD | Predicate disambiguation | batch_69f6b632cf788190a3d0c08cd026b84b |
completed | May 3, 2026, 2:42 a.m. |
Created at: May 1, 2026, 12:40 a.m.