Triple
T16286099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fair Play |
E395391
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Chloe Domont |
E1203923
|
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: Chloe Domont | Statement: [Fair Play, producer, Chloe Domont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chloe Domont Context triple: [Fair Play, producer, Chloe Domont]
-
A.
Chloe Domont
chosen
Chloe Domont is an American filmmaker and screenwriter best known for writing and directing the 2023 psychological thriller film "Fair Play."
-
B.
Sophia Takal
Sophia Takal is an American filmmaker and actress known for her work in independent cinema, including directing the 2019 horror remake "Black Christmas."
-
C.
Amy Jenkins
Amy Jenkins is a British screenwriter and novelist best known for her work on the acclaimed BBC drama series "This Life."
-
D.
Tania Saulnier
Tania Saulnier is a Canadian actress best known for her leading role in the horror-comedy film "Slither."
-
E.
Lucy Noyce
Lucy Noyce is known as the daughter of Australian film director Phillip Noyce.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24914bda08190a5d6315414ee3f76 |
completed | April 17, 2026, 2:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0025fd56008190a9cb896e7ea2d26a |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:05 a.m.