Triple
T2657974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Revenant |
E54659
|
entity |
| Predicate | academyAwardBestDirectorRecipient |
P8113
|
FINISHED |
| Object | Alejandro G. Iñárritu |
E54677
|
NE FINISHED |
How this triple was built (3 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: Alejandro G. Iñárritu | Statement: [The Revenant, academyAwardBestDirectorRecipient, Alejandro G. Iñárritu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alejandro G. Iñárritu Context triple: [The Revenant, academyAwardBestDirectorRecipient, Alejandro G. Iñárritu]
-
A.
Alejandro G. Iñárritu
chosen
Alejandro G. Iñárritu is an acclaimed Mexican filmmaker known for his innovative narrative style and multiple Academy Award–winning films such as "Birdman" and "The Revenant."
-
B.
Alfonso Cuarón
Alfonso Cuarón is an acclaimed Mexican filmmaker known for directing visually innovative and award-winning films such as "Gravity," "Children of Men," and "Roma."
-
C.
Guillermo del Toro
Guillermo del Toro is an acclaimed Mexican filmmaker known for his visually rich, genre-blending fantasy and horror films such as Pan's Labyrinth and The Shape of Water.
-
D.
Denis Villeneuve
Denis Villeneuve is a critically acclaimed Canadian film director known for visually striking, atmospheric works such as Arrival, Blade Runner 2049, and the Dune films.
-
E.
Emmanuel Lubezki
Emmanuel Lubezki is a renowned Mexican cinematographer celebrated for his innovative use of natural light and long takes in films such as Gravity, Birdman, and The Revenant, for which he won consecutive Academy Awards.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: academyAwardBestDirectorRecipient Context triple: [The Revenant, academyAwardBestDirectorRecipient, Alejandro G. Iñárritu]
-
A.
awardCount_AcademyAwardForBestDirector
Indicates the number of Academy Awards for Best Director that have been received.
-
B.
bestDirectorWinner
chosen
Indicates that the subject is the winner of a "Best Director" award for the object (such as a specific film, event, or year).
-
C.
numberOfAcademyAwardsForBestDirector
Indicates the total count of Academy Awards received by a director for the Best Director category.
-
D.
bestPictureWinner
Indicates that the subject is the film that won the Best Picture award in a given context or year.
-
E.
oscarAward
Indicates that an entity has received or been honored with an Academy Award (Oscar).
- F. None of above.
Provenance (4 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_69ab49e028948190b97e01d73548b1d9 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd94c61a08190bdf5e1caeff3e788 |
completed | March 7, 2026, 7:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1eecec6888190a0d8cb0729856bed |
completed | March 11, 2026, 10:38 p.m. |
| PD | Predicate disambiguation | batch_69abd81768748190bd965f367cf6ef37 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:53 p.m.