Triple
T37595561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The 14 Fists of McCluskey |
E935373
|
entity |
| Predicate | portraysAntagonistGroup |
P200057
|
FINISHED |
| Object | Nazis |
—
|
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: Nazis | Statement: [The 14 Fists of McCluskey, portraysAntagonistGroup, Nazis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysAntagonistGroup Context triple: [The 14 Fists of McCluskey, portraysAntagonistGroup, Nazis]
-
A.
portraysGroup
Indicates that one entity depicts, represents, or visually illustrates a group of entities as its subject.
-
B.
hasAntagonistGroup
Indicates that an entity is opposed or challenged by a specific group acting as its antagonist.
-
C.
portraysAdversary
Indicates that one entity depicts or represents another entity as an opponent, enemy, or rival.
-
D.
portraysFaction
chosen
Indicates that one entity depicts, represents, or characterizes a particular faction or group, typically in a narrative, artistic, or media context.
-
E.
facesAntagonistType
Indicates that an entity confronts or opposes an antagonist of a specified type.
- 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_69f76ecf39c081909baffe597bb55273 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ffab5adf2c819084700c5ea34615bf |
completed | May 9, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69ffaabffa208190b5214ca17cc8a5ea |
completed | May 9, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:18 p.m.