Triple
T34373906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Cayrol |
E882233
|
entity |
| Predicate | wroteNarrationFor |
P17575
|
FINISHED |
| Object | Night and Fog |
—
|
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: Night and Fog | Statement: [Jean Cayrol, wroteNarrationFor, Night and Fog]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wroteNarrationFor Context triple: [Jean Cayrol, wroteNarrationFor, Night and Fog]
-
A.
narratedTo
Indicates that one entity tells or recounts a story, event, or information directly to another entity as the audience.
-
B.
narratedFrom
Indicates that an event, story, or account is told or described from the perspective or vantage point of a particular source or narrator.
-
C.
narratesWith
Indicates that one entity tells, recounts, or presents a story, event, or information in conjunction with or alongside another entity.
-
D.
narratorOf
chosen
Indicates that one entity serves as the narrator or storytelling voice for another entity, such as a text, story, or media work.
-
E.
narratesAs
Indicates that one entity tells, recounts, or presents a story, event, or information in the manner, style, or voice of another entity.
- 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_69f349bf5d7481908dd5da4cbdf74047 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71c35327c8190884f1bfe12bd2cd7 |
completed | May 3, 2026, 9:58 a.m. |
| PD | Predicate disambiguation | batch_69f71822d0e88190ac9731c7ae5a4def |
completed | May 3, 2026, 9:40 a.m. |
Created at: May 1, 2026, 1:59 a.m.