Triple

T2512951
Position Surface form Disambiguated ID Type / Status
Subject John Sculley E52742 entity
Predicate fullName P16 FINISHED
Object John Sculley III 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: John Sculley III | Statement: [John Sculley, fullName, John Sculley III]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Sculley III
Context triple: [John Sculley, fullName, John Sculley III]
  • 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. Bob Bakish
    Bob Bakish is an American media executive who serves as the president and chief executive officer of Paramount Global, overseeing its global entertainment and streaming operations.
  • C. Mark Hurd (former)
    Mark Hurd was an American technology executive best known for serving as CEO of Hewlett-Packard and later as co-CEO of Oracle Corporation.
  • D. Mark Parker
    Mark Parker is an American businessman best known for serving as the longtime CEO and later executive chairman of Nike, Inc.
  • E. Thomas Siebel
    Thomas Siebel is an American technology entrepreneur best known as the founder of Siebel Systems and later the cloud computing company C3.ai.
  • 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.