Triple
T14770617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edward Norton as Derek Vinyard |
E347121
|
entity |
| Predicate | characterBackstoryElement |
P36856
|
FINISHED |
| Object | fatherKilledInLineOfDuty |
—
|
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: fatherKilledInLineOfDuty | Statement: [Edward Norton as Derek Vinyard, characterBackstoryElement, fatherKilledInLineOfDuty]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterBackstoryElement Context triple: [Edward Norton as Derek Vinyard, characterBackstoryElement, fatherKilledInLineOfDuty]
-
A.
protagonistBackground
Indicates that one entity serves as the background, history, or prior circumstances of the protagonist entity in a narrative or story.
-
B.
hasFictionalBackstory
Indicates that an entity is associated with an invented or imaginary narrative background rather than a real-world history.
-
C.
characterOrigin
Indicates the source, background, or initial context from which a character originates.
-
D.
characterSetting
Indicates that a character is associated with, appears in, or is situated within a particular setting or environment.
-
E.
characterArcElement
chosen
Indicates that one element is a component or stage within a character’s overall developmental arc or transformation.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec81334e08190a77d760e507d00ed |
completed | April 14, 2026, 11:04 p.m. |
| PD | Predicate disambiguation | batch_69de8c02e5c08190943c27594026faf7 |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:31 a.m.