Triple
T28307005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whiskey Cavalier |
E713882
|
entity |
| Predicate | mainDeuteragonistEmployer |
P93486
|
FINISHED |
| Object | CIA |
—
|
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: CIA | Statement: [Whiskey Cavalier, mainDeuteragonistEmployer, CIA]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainDeuteragonistEmployer Context triple: [Whiskey Cavalier, mainDeuteragonistEmployer, CIA]
-
A.
hasOccupationOfDeuteragonist
Indicates that an entity holds the role of deuteragonist, i.e., the second most important character in a narrative or dramatic work.
-
B.
protagonistEmployerFamilyName
Indicates the family name (surname) of the employer of the story’s protagonist.
-
C.
employerInPlot
chosen
Indicates that one entity serves as the employer of another within the context of a specific plot or storyline.
-
D.
employerOfCreator
Indicates that one entity is the employer of the entity that created another entity.
-
E.
antagonistOccupation
Indicates the role, job, or professional activity that the antagonist character performs.
- 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_69efb5256afc8190b9322d25c3ae6320 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f64e37f7fc819083809149b6661e3c |
completed | May 2, 2026, 7:19 p.m. |
| PD | Predicate disambiguation | batch_69f64caede108190a35cc7cbfead866f |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 27, 2026, 11:38 p.m.