Triple
T32684547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evelyn Salt |
E835682
|
entity |
| Predicate | statusAtBeginningOfFilm |
P131402
|
FINISHED |
| Object | CIA officer |
—
|
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: CIA officer | Statement: [Evelyn Salt, statusAtBeginningOfFilm, CIA officer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusAtBeginningOfFilm Context triple: [Evelyn Salt, statusAtBeginningOfFilm, CIA officer]
-
A.
statusAtStartOfFilm
chosen
Indicates the condition or situation an entity is in at the beginning of the film.
-
B.
statusAtEndOfFilm
Indicates the condition or situation an entity is in when the film concludes.
-
C.
legalStatusAtStartOfFilm
Indicates the legal condition or standing an entity has at the beginning of the film’s narrative.
-
D.
statusDuringFilm
Indicates that a particular status or condition holds for an entity during the time span in which a specified film takes place or is being made.
-
E.
statusInFirstFilm
Indicates the role, condition, or situation an entity has in its first film appearance.
- 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_69f3493211388190993801216afbc2a7 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69feb342994081909481ec8ec5d44928 |
completed | May 9, 2026, 4:08 a.m. |
| PD | Predicate disambiguation | batch_69feb046e4e48190b96649aa28529cc9 |
completed | May 9, 2026, 3:55 a.m. |
Created at: May 1, 2026, 1:09 a.m.