Triple

T1688940
Position Surface form Disambiguated ID Type / Status
Subject STS-114 E36506 entity
Predicate missionSpecialist P21471 FINISHED
Object Wendy Lawrence E221547 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: Wendy Lawrence | Statement: [STS-114, missionSpecialist, Wendy Lawrence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wendy Lawrence
Context triple: [STS-114, missionSpecialist, Wendy Lawrence]
  • A. Wendy Lawrence chosen
    Wendy Lawrence is a retired U.S. Navy captain and NASA astronaut who flew on multiple Space Shuttle missions as a mission specialist.
  • B. Wendy Hughes
    Wendy Hughes was an acclaimed Australian actress known for her versatile performances in film, television, and theatre from the 1970s onward.
  • C. Wendy Benchley
    Wendy Benchley is an American ocean conservationist, environmental activist, and former political figure known for her leadership in marine protection and shark conservation.
  • D. Wendy Cheesman
    Wendy Cheesman was a British architect and the first wife and early professional collaborator of renowned architect Norman Foster.
  • E. Lorna Luft
    Lorna Luft is an American singer, actress, and author, best known for her work on stage and screen and for being part of the legendary Garland entertainment family.
  • 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_69a886151508819084fa7f1ce6e05577 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa6296655c8190835ec0d20f7460ca completed March 6, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0aaf7a008190bf7e5808838c6c2b completed March 8, 2026, 11:47 p.m.
Created at: March 4, 2026, 7:29 p.m.