Triple

T3572609
Position Surface form Disambiguated ID Type / Status
Subject Olivia Newton-John E75608 entity
Predicate notableSong P4 FINISHED
Object Physical E368822 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: Physical | Statement: [Olivia Newton-John, notableSong, Physical]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Physical
Context triple: [Olivia Newton-John, notableSong, Physical]
  • A. Physical chosen
    "Physical" is a 1981 pop song by Olivia Newton-John that became one of her biggest hits and an iconic track of the early 1980s.
  • B. Body Next to Body
    "Body Next to Body" is a 1987 pop single performed by Danish-Italian singer Brigitte Nielsen, produced and co-written by Falco, that gained attention for its Euro-dance style and celebrity collaboration.
  • C. Hands On
    "Hands On" is a track from Kanye West's gospel-influenced hip-hop album *Jesus Is King*, featuring a contemplative, minimalist production and religious themes.
  • D. Body Double
    Body Double is a 1984 neo-noir erotic thriller film directed by Brian De Palma, known for its Hitchcockian suspense, voyeurism themes, and stylized violence.
  • E. Motion
    Motion is Apple's professional motion graphics and visual effects software used to create dynamic titles, transitions, and effects, particularly for video projects edited in Final Cut Pro.
  • 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_69ad85d5e3008190bdfe0bacdd1f5a1b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0c447fc81909689259558187af4 completed March 8, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b402ef79e481909acd5d96678bc003 completed March 13, 2026, 12:28 p.m.
Created at: March 8, 2026, 3:21 p.m.