Triple

T10485608
Position Surface form Disambiguated ID Type / Status
Subject Nick Wechsler E247288 entity
Predicate notableWork P4 FINISHED
Object Roswell E487869 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: [Nick Wechsler, notableWork, Roswell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roswell
Context triple: [Nick Wechsler, notableWork, Roswell]
  • A. Roswell
    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.
  • B. Roswell chosen
    Roswell is a suburban city in the Atlanta metropolitan area known for its historic district, affluent neighborhoods, and Chattahoochee River recreation.
  • 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. Roswell, Texas
    "Roswell, Texas" is an alternate-history science fiction novel by L. Neil Smith that reimagines the American West and the Roswell incident in a libertarian-themed parallel universe.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5096988ec81908d7518b09256c145 completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc7fc0cc8190922b7b783d37f542 completed April 10, 2026, 11:18 a.m.
Created at: April 6, 2026, 12:23 p.m.