Triple
T3697850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sofia Coppola |
E78501
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Sofia Coppola |
E78501
|
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: Sofia Coppola | Statement: [Sofia Coppola, name, Sofia Coppola]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sofia Coppola Context triple: [Sofia Coppola, name, Sofia Coppola]
-
A.
Sofia Coppola
chosen
Sofia Coppola is an American filmmaker and screenwriter known for her atmospheric, character-driven films such as "Lost in Translation" and "The Virgin Suicides."
-
B.
Rebecca Miller
Rebecca Miller is an American filmmaker, screenwriter, and novelist known for works such as "Personal Velocity" and "The Private Lives of Pippa Lee."
-
C.
Penelope Spheeris
Penelope Spheeris is an American film director best known for her work on the documentary trilogy "The Decline of Western Civilization" and for directing hit comedies in the 1980s and 1990s.
-
D.
Greta Gerwig
Greta Gerwig is an American filmmaker and actress best known as the acclaimed writer-director of films like "Lady Bird," "Little Women," and the blockbuster "Barbie."
-
E.
Ellen Kuras
Ellen Kuras is an acclaimed American cinematographer known for her innovative visual style on films such as "Eternal Sunshine of the Spotless Mind" and numerous documentaries.
- 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_69ad85e3b1888190abc983e06968696d |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc512ba188190a15bcacafac3f476 |
completed | March 8, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4db01e118819090438d80898cf73b |
completed | March 14, 2026, 3:50 a.m. |
Created at: March 8, 2026, 3:26 p.m.