Triple

T5019253
Position Surface form Disambiguated ID Type / Status
Subject Steve Harrington E112808 entity
Predicate friendOf P8712 FINISHED
Object Nancy Wheeler E286552 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: Nancy Wheeler | Statement: [Steve Harrington, friendOf, Nancy Wheeler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nancy Wheeler
Context triple: [Steve Harrington, friendOf, Nancy Wheeler]
  • A. Nancy Wheeler chosen
    Nancy Wheeler is a determined and resourceful teenager in the series "Stranger Things," known for her investigative instincts and courage in confronting supernatural threats.
  • B. Nancy Wyman
    Nancy Wyman is an American Democratic politician who served as the 108th lieutenant governor of Connecticut and previously chaired the state’s Democratic Party.
  • C. Nancy Morris
    Nancy Morris was the wife of American politician and U.S. Representative Henry Winter Davis, a prominent figure in Maryland politics during the mid-19th century.
  • D. Nancy Morgan
    Nancy Morgan is an American actress known for her film and television work and for her former marriage to actor John Ritter.
  • E. Nancy Cummings
    Nancy Cummings was the daughter of American poet E. E. Cummings, known primarily through biographical accounts of his personal life.
  • 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_69bd4435c2f48190be593158cbfcf8a3 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7342c62881909acb35849da8761c completed March 20, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8fa179c008190a6bba55cb62b7fe8 completed March 29, 2026, 10:08 a.m.
Created at: March 20, 2026, 1:35 p.m.