Triple
T23153027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freeheld |
E578368
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Celine Rattray |
—
|
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: Celine Rattray | Statement: [Freeheld, producer, Celine Rattray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Celine Rattray Context triple: [Freeheld, producer, Celine Rattray]
-
A.
Celine Rattray
chosen
Celine Rattray is a British film producer known for her work on acclaimed independent films and as a co-founder of Maven Pictures.
-
B.
Céline Ronté
Céline Ronté is a French voice actress known for her work dubbing animated films and television series, including roles in the 2018 adaptation of White Fang.
-
C.
Céline Lomez
Céline Lomez is a Canadian actress and singer known for her work in 1970s and 1980s film and television.
-
D.
Corinne Cléry
Corinne Cléry is a French actress best known internationally for her role as O in the 1975 erotic drama film "Story of O" and for appearing as a Bond girl in "Moonraker."
-
E.
Céline Granjou
Céline Granjou is a French sociologist known for her work on environmental issues, scientific practices, and the sociology of innovation.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245fb8de081908f0eba7b5fd75bc4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18efaa1fc81908fb1987dbf732f46 |
completed | April 29, 2026, 4:54 a.m. |
Created at: April 17, 2026, 4:01 p.m.