Triple
T7436870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gattaca |
E171637
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Andrew Niccol |
E302599
|
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: Andrew Niccol | Statement: [Gattaca, writer, Andrew Niccol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew Niccol Context triple: [Gattaca, writer, Andrew Niccol]
-
A.
Andrew Niccol
chosen
Andrew Niccol is a New Zealand-born filmmaker and screenwriter known for writing and directing high-concept, socially conscious science fiction films such as "Gattaca" and "In Time."
-
B.
George Roy Hill
George Roy Hill was an American film director best known for helming acclaimed classics such as "Butch Cassidy and the Sundance Kid" and "The Sting."
-
C.
Alex Proyas
Alex Proyas is an Egyptian-born Australian film director known for visually stylized, genre-bending movies such as "The Crow" and "Dark City."
-
D.
Paul Haggis
Paul Haggis is a Canadian screenwriter, producer, and director best known for writing and directing the Academy Award–winning film "Crash" and co-writing "Million Dollar Baby."
-
E.
Sacha Gervasi
Sacha Gervasi is a British screenwriter and director known for films such as "The Terminal" and the documentary "Anvil! The Story of Anvil."
- 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_69c68a64228c8190affaec2a8127ce7b |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f349399c8190b46d5882ece2e73a |
completed | March 27, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8278670bc819095bdbcc0837b6716 |
completed | March 28, 2026, 7:09 p.m. |
Created at: March 27, 2026, 3:13 p.m.