Triple
T33772541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canon Black |
E865419
|
entity |
| Predicate | hasCharacterDevelopmentsRevolvingAround |
P163814
|
FINISHED |
| Object | Strange |
—
|
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: Strange | Statement: [Canon Black, hasCharacterDevelopmentsRevolvingAround, Strange]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCharacterDevelopmentsRevolvingAround Context triple: [Canon Black, hasCharacterDevelopmentsRevolvingAround, Strange]
-
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.
linkedToCharacterDevelopmentOf
chosen
Indicates a relationship where something contributes to, influences, or is otherwise connected with the character development of an entity.
-
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.
characterArcContinuation
Indicates that a character’s development or transformation in the narrative continues from a previous point or installment, maintaining coherence and progression in their storyline.
- 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_69f3498df6f88190bf9647ea4e4a956e |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fe744faca881908e11e90e0a35653f |
completed | May 8, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69fe734cbf7081909a552c5cf3b5ea59 |
completed | May 8, 2026, 11:35 p.m. |
Created at: May 1, 2026, 1:45 a.m.