Triple

T5804988
Position Surface form Disambiguated ID Type / Status
Subject Steven Price E128723 entity
Predicate notableWork P4 FINISHED
Object Gravity E38378 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: Gravity | Statement: [Steven Price, notableWork, Gravity]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gravity
Context triple: [Steven Price, notableWork, 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 poignant piano-driven ballad by Sara Bareilles that explores the emotional pull of a difficult, lingering relationship.
  • C. Gravity
    "Gravity" is a soulful blues-rock ballad by John Mayer, celebrated for its expressive guitar work and introspective lyrics.
  • D. Gravity
    "Gravity" is a medical thriller novel by Tess Gerritsen that combines space-station suspense with biomedical disaster.
  • E. 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.
  • 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_69c00846a0d881909e46841f8e156b64 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02b1461a48190be2042dd3823d02e completed March 22, 2026, 5:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c09836d00881908c210b2932d67519 completed March 23, 2026, 1:32 a.m.
Created at: March 22, 2026, 3:52 p.m.