Triple
T5736677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fantine |
E126518
|
entity |
| Predicate | emotionalRole |
P65521
|
FINISHED |
| Object | emotional core of Les Misérables |
—
|
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: emotional core of Les Misérables | Statement: [Fantine, emotionalRole, emotional core of Les Misérables]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emotionalRole Context triple: [Fantine, emotionalRole, emotional core of Les Misérables]
-
A.
emotionalRoleForAdam
Indicates a relationship where one entity serves a particular emotional role or function specifically for Adam.
-
B.
speakerRole
Indicates the functional role or capacity in which an entity is acting as a speaker within a communicative event.
-
C.
emotionalDynamic
Indicates how emotions, moods, or affective states change, interact, or influence each other between entities over time.
-
D.
dramaticRole
Indicates that one entity serves as a character or part played by another entity within a dramatic or theatrical work.
-
E.
roleCharacteristic
Indicates that a particular characteristic, quality, or attribute is associated with and helps define a given role or function.
- 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_69c0083082288190b7478cead6b5430a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0255ad6f48190977bf4f037110aa3 |
completed | March 22, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69c021c8195481909419808b002628aa |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c022a50c048190aff24c63e7039dd6 |
completed | March 22, 2026, 5:11 p.m. |
Created at: March 22, 2026, 3:47 p.m.