Triple

T1194571
Position Surface form Disambiguated ID Type / Status
Subject W. G. Snuffy Walden E25636 entity
Predicate workedOn P3 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: [W. G. Snuffy Walden, workedOn, Roswell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roswell
Context triple: [W. G. Snuffy Walden, workedOn, Roswell]
  • A. 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.
  • B. 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.
  • C. Livermore
    Livermore is a city in California’s Tri-Valley region known for its wine country, historic downtown, and proximity to major scientific research facilities.
  • D. Casper
    Casper is a 1995 family fantasy film about a friendly ghost who befriends a young girl while haunting a crumbling mansion.
  • E. Stillwater
    Stillwater is a small town in eastern New York State known for its proximity to historic Revolutionary War sites near the Hudson River.
  • 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_69a49429f5ec8190a6a205eb0ae81e5e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd78f61c8190bdba2255d35a8fe4 completed March 1, 2026, 10:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7650de3c8190b2c246436a3d25b1 completed March 7, 2026, 7:02 p.m.
Created at: March 1, 2026, 7:46 p.m.