Triple

T6379758
Position Surface form Disambiguated ID Type / Status
Subject Continuum E143550 entity
Predicate hasTrack P3284 FINISHED
Object Gravity
"Gravity" is a song by the American rock band Our Lady Peace from their 2002 album of the same name.
 E589378 NE FINISHED

How this triple was built (4 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: [Continuum, hasTrack, Gravity]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gravity
Context triple: [Continuum, hasTrack, Gravity]
  • A. Gravity
    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. 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. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gravity
Triple: [Continuum, hasTrack, Gravity]
Generated description
"Gravity" is a song by the American rock band Our Lady Peace from their 2002 album of the same name.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gravity
Target entity description: "Gravity" is a song by the American rock band Our Lady Peace from their 2002 album of the same name.
  • A. Gravity
    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. 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. chosen

Provenance (5 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_69c008d9f4348190ab598a2913259a1c completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0685029488190911fb24c470b6f0d completed March 22, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62daf2f408190923d67bd0222d2bb completed March 27, 2026, 7:11 a.m.
NEDg Description generation batch_69c63321ec688190ae527f6ae9be5791 completed March 27, 2026, 7:34 a.m.
NED2 Entity disambiguation (via description) batch_69c633e823548190950cc50e360e4ef6 completed March 27, 2026, 7:38 a.m.
Created at: March 22, 2026, 4:33 p.m.