Triple
T5929662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Keller |
E131902
|
entity |
| Predicate | dramaticArc |
P20798
|
FINISHED |
| Object | from loyalty to confrontation with his father |
—
|
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: from loyalty to confrontation with his father | Statement: [Chris Keller, dramaticArc, from loyalty to confrontation with his father]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dramaticArc Context triple: [Chris Keller, dramaticArc, from loyalty to confrontation with his father]
-
A.
characterArc
chosen
Indicates the developmental journey or transformation a character undergoes over the course of a narrative.
-
B.
dramaticFunction
Indicates the role or purpose that something serves within the structure or progression of a dramatic work or narrative.
-
C.
characterArcElement
Indicates that one element is a component or stage within a character’s overall developmental arc or transformation.
-
D.
notableStoryArc
Indicates that there exists a significant or prominent narrative storyline or plot development involving the subject.
-
E.
dramaticConvention
Indicates a relationship where a particular technique, device, or practice is recognized and used as an accepted convention within dramatic or theatrical storytelling.
- 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_69c0085b75e88190a632f9691f9da48b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03c9239e08190bff7ef2bd6d21ae0 |
completed | March 22, 2026, 7:01 p.m. |
| PD | Predicate disambiguation | batch_69c033541d108190a34d1fde2fe9dacb |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 4 p.m.