Triple
T11145022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lovely Bones |
E263647
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Aimee Peyronnet |
E859126
|
NE 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: Aimee Peyronnet | Statement: [The Lovely Bones, producer, Aimee Peyronnet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aimee Peyronnet Context triple: [The Lovely Bones, producer, Aimee Peyronnet]
-
A.
Aimee Peyronnet
chosen
Aimee Peyronnet is a film producer best known for her work on the 2009 adaptation of "The Lovely Bones."
-
B.
Julie Bruneau
Julie Bruneau was a 19th-century Canadian woman best known as the wife and close confidante of Louis-Joseph Papineau, the prominent Lower Canadian political leader and reformer.
-
C.
Racquel Chevremont
Racquel Chevremont is an American art curator, collector, and former model known for her work promoting Black and queer artists and for co-founding the curatorial collective Deux Femmes Noires.
-
D.
Rachelle Lefevre
Rachelle Lefevre is a Canadian actress best known for her roles in the Twilight film series and various American television dramas.
-
E.
Danielle Savre
Danielle Savre is an American actress best known for her starring role as firefighter Maya Bishop on the television drama series "Station 19."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aa9c0ba08190bbd19c217489b755 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8634d5481909b114d30a542ea3f |
completed | April 9, 2026, 5:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e496c152a081909c6ad8b2a6e41927 |
completed | April 19, 2026, 8:48 a.m. |
Created at: April 8, 2026, 9:28 p.m.