Triple

T13579873
Position Surface form Disambiguated ID Type / Status
Subject Jason Dohring E324383 entity
Predicate appearedIn P795 FINISHED
Object Roswell E907642 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: [Jason Dohring, appearedIn, Roswell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roswell
Context triple: [Jason Dohring, appearedIn, Roswell]
  • A. Roswell
    Roswell is a masculine given name of English origin, most notably borne by figures such as American lawyer and defense official Roswell Gilpatric.
  • B. 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.
  • C. Roswell
    Roswell is a suburban city in the Atlanta metropolitan area known for its historic district, affluent neighborhoods, and Chattahoochee River recreation.
  • D. Roswell chosen
    Roswell is an American science fiction television series that follows a group of teenage human–alien hybrids navigating life, love, and secrecy in the town of Roswell, New Mexico.
  • E. 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.
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb03052088190a2b68c106059828e completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bbdb2d0819089f094e57dde28cf completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:48 p.m.