Triple

T2644656
Position Surface form Disambiguated ID Type / Status
Subject Emmanuel Lubezki E62955 entity
Predicate academyAwardForBestCinematographyFor P37621 FINISHED
Object Gravity E38378 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: Gravity | Statement: [Emmanuel Lubezki, academyAwardForBestCinematographyFor, Gravity]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gravity
Context triple: [Emmanuel Lubezki, academyAwardForBestCinematographyFor, Gravity]
  • A. Gravity chosen
    Gravity is a 2013 science fiction thriller film directed by Alfonso Cuarón that follows astronauts stranded in space after their shuttle is destroyed.
  • B. Gravity
    "Gravity" is a soulful blues-rock ballad by John Mayer, celebrated for its expressive guitar work and introspective lyrics.
  • C. Gravity
    "Gravity" is a poignant piano-driven ballad by Sara Bareilles that explores the emotional pull of a difficult, lingering relationship.
  • D. law of universal gravitation
    The law of universal gravitation is Newton’s fundamental physical law stating that every pair of masses in the universe attracts each other with a force proportional to the product of their masses and inversely proportional to the square of the distance between them.
  • E. Gravity from the Ground Up
    Gravity from the Ground Up is an introductory textbook by physicist Bernard F. Schutz that explains gravity and general relativity using minimal mathematics and a concept-focused approach for students and non-specialists.
  • 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: academyAwardForBestCinematographyFor
Context triple: [Emmanuel Lubezki, academyAwardForBestCinematographyFor, Gravity]
  • A. bestCinematographyWinner
    Indicates that the subject is the work or individual that won the award for best cinematography in a given context or event.
  • B. cinematographyAwardedTo chosen
    Indicates that a cinematography-related award has been given to a particular recipient (such as a person or team) for their work.
  • C. bestPictureWinner
    Indicates that the subject is the film that won the Best Picture award in a given context or year.
  • D. oscarAward
    Indicates that an entity has received or been honored with an Academy Award (Oscar).
  • E. bestDirectorWinner
    Indicates that the subject is the winner of a "Best Director" award for the object (such as a specific film, event, or year).
  • 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_69ab4c3f2dcc819082df80f5e032f690 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abd917192081908e7a2cf780a17b83 completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98c50d108190b716dd51c34d3759 completed March 10, 2026, 4:06 a.m.
PD Predicate disambiguation batch_69abd814298c8190952f05aed43f6bb8 completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:53 p.m.