Triple

T2389172
Position Surface form Disambiguated ID Type / Status
Subject STS-109 E48899 entity
Predicate missionSpecialist P21471 FINISHED
Object Nancy J. Currie E217764 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 J. Currie | Statement: [STS-109, missionSpecialist, Nancy J. Currie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nancy J. Currie
Context triple: [STS-109, missionSpecialist, Nancy J. Currie]
  • A. Nancy J. Currie chosen
    Nancy J. Currie is a former NASA astronaut, engineer, and U.S. Army officer who flew on multiple Space Shuttle missions and contributed significantly to the assembly of the International Space Station.
  • B. Nancy Carlson
    Nancy Carlson is known as the wife of World Wide Web inventor Sir Tim Berners-Lee.
  • C. Nancy Gross
    Nancy Gross was the wife of renowned American film director Howard Hawks.
  • D. Nancy Gates
    Nancy Gates was an American film and television actress active from the 1940s through the 1960s, known for her roles in dramas, film noirs, and romantic comedies.
  • E. Joanne Rogers
    Joanne Rogers was an American concert pianist and television personality best known as the longtime wife and collaborator of children's television icon Fred Rogers and as a prominent advocate for his legacy.
  • 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_69a88aa5f63081908d07fd302029fcbd completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc7dca9248190b634ae9e02f6899a completed March 7, 2026, 6:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef09854fc8190bab0415e3815a920 completed March 9, 2026, 4:08 p.m.
Created at: March 4, 2026, 7:57 p.m.