Triple
T24872475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Elmo's |
E622471
|
entity |
| Predicate | linkedToCharacterDevelopmentOf |
P163814
|
FINISHED |
| Object | Kevin Dolenz |
—
|
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: Kevin Dolenz | Statement: [St. Elmo's, linkedToCharacterDevelopmentOf, Kevin Dolenz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linkedToCharacterDevelopmentOf Context triple: [St. Elmo's, linkedToCharacterDevelopmentOf, Kevin Dolenz]
-
A.
followsCharacterDevelopmentOf
Indicates that one entity’s narrative progression or growth is modeled on, parallels, or traces the character development arc of another entity.
-
B.
linkedCharacterArc
Indicates that one character’s narrative development is directly connected to, influenced by, or dependent on another character’s arc.
-
C.
developedCharacter
Indicates that one entity created, designed, or otherwise brought into existence the character represented by the other entity.
-
D.
characterArc
Indicates the developmental journey or transformation a character undergoes over the course of a narrative.
-
E.
characterArcElement
Indicates that one element is a component or stage within a character’s overall developmental arc or transformation.
- 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_69e2fac3fdbc81909c2ec49be5743cd9 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f6416fbf4081909b0913c337927fc4 |
completed | May 2, 2026, 6:24 p.m. |
| PD | Predicate disambiguation | batch_69f63c6456608190b94e7c2e2c2a4824 |
completed | May 2, 2026, 6:03 p.m. |
| PDg | Predicate description generation | batch_69f63fd4f7448190930c723ba7cfce62 |
completed | May 2, 2026, 6:17 p.m. |
Created at: April 18, 2026, 5:23 a.m.