Triple

T22101813
Position Surface form Disambiguated ID Type / Status
Subject Sapphire E546189 entity
Predicate musicBy P1952 FINISHED
Object Philip Green NE NERFINISHED

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: Philip Green | Statement: [Sapphire, musicBy, Philip Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philip Green
Context triple: [Sapphire, musicBy, Philip Green]
  • A. Philip Green chosen
    Philip Green was a British film and television composer and conductor known for his prolific work on mid-20th-century soundtracks.
  • B. Maurice Saatchi
    Maurice Saatchi is a British advertising executive and Conservative politician, best known as the co-founder of the influential advertising agency Saatchi & Saatchi.
  • C. Johann Rupert
    Johann Rupert is a South African billionaire businessman best known as the founder and chairman of luxury goods conglomerate Richemont.
  • D. Alan Sainsbury, Baron Sainsbury
    Alan Sainsbury, Baron Sainsbury was a British businessman and politician who helped expand the Sainsbury’s supermarket chain and later served as a life peer in the House of Lords.
  • E. Colin Welland
    Colin Welland was an English actor and screenwriter best known for winning the Academy Award for Best Original Screenplay for the film "Chariots of Fire."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129163b908190b63ace06016f4db8 completed April 28, 2026, 9:39 p.m.
Created at: April 16, 2026, 8:30 p.m.