Triple
T11156699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mia Dolan |
E263928
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Damien Chazelle |
E221277
|
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: Damien Chazelle | Statement: [Mia Dolan, createdBy, Damien Chazelle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Damien Chazelle Context triple: [Mia Dolan, createdBy, Damien Chazelle]
-
A.
Damien Chazelle
chosen
Damien Chazelle is an American filmmaker and screenwriter known for his stylish, music-driven dramas such as "Whiplash" and the Oscar-winning "La La Land."
-
B.
Derek Cianfrance
Derek Cianfrance is an American filmmaker known for his emotionally intense, character-driven dramas such as "Blue Valentine" and "The Place Beyond the Pines."
-
C.
Alex Gansa
Alex Gansa is an American television writer and producer best known for co-creating and showrunning the acclaimed political thriller series "Homeland."
-
D.
Daniel Kwan
Daniel Kwan is an American filmmaker best known as one half of the directing duo Daniels, who co-wrote and co-directed the acclaimed film "Everything Everywhere All at Once."
-
E.
Craig Gillespie
Craig Gillespie is an Australian-American film director known for character-driven comedies and dramas such as "Lars and the Real Girl" and the biographical film "I, Tonya."
- 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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8741cd48190b7cc29c6b6bc54ff |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e46352e0688190924f15bc7d7ede90 |
completed | April 19, 2026, 5:08 a.m. |
Created at: April 8, 2026, 9:28 p.m.