Triple
T33415551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scream Extractor |
E855704
|
entity |
| Predicate | antagonisticAssociation |
P129484
|
FINISHED |
| Object | Randall Boggs |
—
|
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: Randall Boggs | Statement: [Scream Extractor, antagonisticAssociation, Randall Boggs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: antagonisticAssociation Context triple: [Scream Extractor, antagonisticAssociation, Randall Boggs]
-
A.
antagonisticInteractionWith
chosen
Indicates a hostile or oppositional interaction in which one entity acts against, harms, or obstructs another.
-
B.
hasContrastingRelationshipWith
Indicates a relationship in which two entities are opposed, divergent, or markedly different in qualities, roles, or effects.
-
C.
antAssociation
Indicates a relationship in which one entity is associated or interacts in a specific, notable way with ants.
-
D.
antiCorrelatedWith
Indicates that increases in one quantity are systematically associated with decreases in another, and vice versa.
-
E.
antagonisticArc
Indicates a relationship in which one entity consistently opposes, harms, or works against another over the course of a conflict or storyline.
- 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_69f3496f04a08190804e56ac5098b8e4 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e47f37848190aadb137c81760f1f |
completed | May 3, 2026, 6 a.m. |
| PD | Predicate disambiguation | batch_69f6e3da41948190a4cfe866ce184f73 |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:36 a.m.