Triple

T2512953
Position Surface form Disambiguated ID Type / Status
Subject John Sculley E52742 entity
Predicate familyName P18 FINISHED
Object Sculley E52742 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: Sculley | Statement: [John Sculley, familyName, Sculley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sculley
Context triple: [John Sculley, familyName, Sculley]
  • A. John Sculley chosen
    John Sculley is an American businessman best known for serving as Apple’s CEO in the 1980s after being recruited from PepsiCo, during which time he both helped expand the company and clashed with Steve Jobs.
  • B. David Scearce
    David Scearce is a Canadian screenwriter best known for adapting Christopher Isherwood’s novel into the acclaimed film "A Single Man."
  • C. Joe Sutter
    Joe Sutter was an American aerospace engineer best known as the chief designer of the Boeing 747, one of the most iconic and influential commercial airliners in history.
  • D. Ken Olsen
    Ken Olsen was an American engineer and entrepreneur best known as the co-founder and longtime leader of Digital Equipment Corporation, a pioneering company in the minicomputer industry.
  • E. Charles Walters
    Charles Walters was an American film director and choreographer best known for his work on classic MGM musicals in the mid-20th century.
  • 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_69ab4958e76481908a235377dd921c9e completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd20b6d008190acec0eb172e218c9 completed March 7, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1faed61481909f13b8a014b39ed3 completed March 9, 2026, 7:29 p.m.
Created at: March 6, 2026, 9:46 p.m.