Triple
T22091680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enjolras |
E545928
|
entity |
| Predicate | politicalAlignmentInFiction |
P142586
|
FINISHED |
| Object | republican |
—
|
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: republican | Statement: [Enjolras, politicalAlignmentInFiction, republican]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalAlignmentInFiction Context triple: [Enjolras, politicalAlignmentInFiction, republican]
-
A.
politicalAffiliationInFiction
chosen
Indicates a fictional character’s association or alignment with a political party, ideology, or movement within a narrative work.
-
B.
politicalPartyInFiction
Indicates that a political party appears or operates within a fictional work or fictional universe.
-
C.
hasAlignmentInFiction
Indicates that a fictional character, group, or entity possesses a specific moral or ethical alignment within a fictional setting.
-
D.
religiousIdeologyInFiction
Indicates that a religious ideology is depicted, referenced, or plays a role within a fictional work or narrative.
-
E.
targetAudienceWithinFiction
Indicates that the intended audience of a work exists as characters or entities within the fictional world depicted by that work.
- 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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128e5edf08190a6743955bc872417 |
completed | April 28, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69e71b20ec50819096ac196c798f8e3c |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:29 p.m.