Triple
T28922300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seeking Justice |
E733547
|
entity |
| Predicate | hasVigilanteTheme |
P180426
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Seeking Justice, hasVigilanteTheme, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVigilanteTheme Context triple: [Seeking Justice, hasVigilanteTheme, true]
-
A.
isVigilante
Indicates that an entity takes the law into their own hands, acting outside official authority to pursue or punish perceived wrongdoers.
-
B.
hasSuperpowersTheme
Indicates that the subject involves, features, or centers around the theme of characters possessing superhuman abilities or powers.
-
C.
hasPoliceTheme
Indicates that something features police, law enforcement, or policing activities as a central theme or focus.
-
D.
hasMotiveTheme
Indicates that an action, event, or situation is associated with a central motivating theme or underlying driving idea.
-
E.
hasVillain
Indicates that one entity is the villain or primary antagonist associated with another entity.
- F. None of above. chosen
Provenance (4 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_69f05b0a5cc0819094828367ae204b70 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f74062b9388190b30546cf700a825c |
completed | May 3, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69f73c802b848190b61a416b7488bd96 |
completed | May 3, 2026, 12:16 p.m. |
| PDg | Predicate description generation | batch_69f74061c440819080434155c2d60341 |
completed | May 3, 2026, 12:32 p.m. |
Created at: April 28, 2026, 8:20 a.m.