Triple

T21288492
Position Surface form Disambiguated ID Type / Status
Subject Norman Pike E524723 entity
Predicate nameString P744 FINISHED
Object Norman Pike 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: Norman Pike | Statement: [Norman Pike, nameString, Norman Pike]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norman Pike
Context triple: [Norman Pike, nameString, Norman Pike]
  • A. Norman Pike chosen
    Norman Pike is a person notable enough to be recognized as a bearer of the surname Pike, though specific widely known achievements or roles are not clearly documented.
  • B. Norman Rogers
    Norman Rogers, better known as Terminator X, is an American DJ and producer best known for his work with the influential hip hop group Public Enemy.
  • C. Norman Barren
    Norman Barren was an American entrepreneur best known as the founder of the off-price department store chain Marshalls.
  • D. Norman Matson
    Norman Matson was an American writer and screenwriter best known for co-writing the story that inspired the classic 1942 fantasy-comedy film "I Married a Witch."
  • E. Norman Ferguson
    Norman Ferguson was an American animator and film director at Walt Disney Studios, best known for his influential work on classic Disney features during the Golden Age of animation.
  • 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_69e0b5171f6c8190a5d57201ede73811 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736d7c57c8190bc4180ea590a62d4 completed April 21, 2026, 8:35 a.m.
Created at: April 16, 2026, 4:03 p.m.