Triple

T5547426
Position Surface form Disambiguated ID Type / Status
Subject Mary Ellen Trainor E145441 entity
Predicate notableWork P4 FINISHED
Object Roswell E50843 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: Roswell | Statement: [Mary Ellen Trainor, notableWork, Roswell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roswell
Context triple: [Mary Ellen Trainor, notableWork, Roswell]
  • A. Roswell
    Roswell is a suburban city in the Atlanta metropolitan area known for its historic district, affluent neighborhoods, and Chattahoochee River recreation.
  • B. Roswell chosen
    Roswell is a city in southeastern New Mexico best known for its association with the 1947 UFO incident and its strong aerospace and military presence.
  • C. Roswell, New Mexico
    Roswell, New Mexico is a city best known for its association with the 1947 UFO incident and its role as a regional economic and cultural center in southeastern New Mexico.
  • D. Rosewell
    Rosewell is a small village in Midlothian, Scotland, known historically for its coal mining heritage and rural character.
  • E. Fallon
    Fallon is a small city in western Nevada known for its agricultural community, nearby Naval Air Station, and role as a regional service hub.
  • 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_69c008fb879c81909f5bfa56fadc1d46 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fe0244c8190aeb995f79f22a039 completed March 22, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0282ace308190a714685579f2a789 completed March 22, 2026, 5:34 p.m.
Created at: March 22, 2026, 3:35 p.m.