Triple
T5107744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amy |
E115139
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Asif Kapadia |
E493585
|
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: Asif Kapadia | Statement: [Amy, writer, Asif Kapadia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asif Kapadia Context triple: [Amy, writer, Asif Kapadia]
-
A.
Asif Kapadia
chosen
Asif Kapadia is a British filmmaker renowned for his emotionally powerful, archive-driven documentaries such as "Senna," "Amy," and "Diego Maradona."
-
B.
Seb Janiak
Seb Janiak is a French visual artist and director known for his innovative work in music videos, photography, and digital art.
-
C.
Morgan Neville
Morgan Neville is an Academy Award–winning American documentary filmmaker known for acclaimed works such as "20 Feet from Stardom" and "Won’t You Be My Neighbor?".
-
D.
Davis Guggenheim
Davis Guggenheim is an American filmmaker and producer best known for directing influential documentaries such as "An Inconvenient Truth," "Waiting for 'Superman'," and "He Named Me Malala."
-
E.
William Oldroyd
William Oldroyd is a British film and theatre director best known for his critically acclaimed 2016 period drama film "Lady Macbeth."
- 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_69bd4440b3348190be1251fd8b7951f1 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75a8ee7881908876859402911e5a |
completed | March 20, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bec36fe8dc8190a391547043d28e11 |
completed | March 21, 2026, 4:12 p.m. |
Created at: March 20, 2026, 1:41 p.m.