Triple

T804644
Position Surface form Disambiguated ID Type / Status
Subject Bell X-1 E17401 entity
Predicate nickname P55 FINISHED
Object Glamorous Glennis E46588 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: Glamorous Glennis | Statement: [Bell X-1, nickname, Glamorous Glennis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glamorous Glennis
Context triple: [Bell X-1, nickname, Glamorous Glennis]
  • A. Glamorous Glennis chosen
    Glamorous Glennis was the name Chuck Yeager gave to several of his aircraft, most famously the Bell X-1 rocket plane in which he first broke the sound barrier.
  • B. Gloria
    Gloria is a joyful hymn of praise in Christian liturgy, traditionally sung during major celebrations such as the Easter Vigil.
  • C. Marilyn
    A Marilyn is a type of British hill or mountain classified by having a prominence of at least 150 meters, regardless of its absolute height.
  • D. Charlene
    Charlene is a feminine given name derived from the male name Charles.
  • E. Dorothy Cotton
    Dorothy Cotton was a prominent civil rights activist and educator who served as the education director for the Southern Christian Leadership Conference and worked closely with Martin Luther King Jr.
  • 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_69a4937ae8a08190b5084a03d532b30e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4aabebff08190880e4876ff58bcfe completed March 1, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d83cf448190a2205cd777386833 completed March 3, 2026, 11:23 p.m.
Created at: March 1, 2026, 7:38 p.m.