Triple

T22469709
Position Surface form Disambiguated ID Type / Status
Subject Joseph Pevney E555460 entity
Predicate workedOn P3 FINISHED
Object Wagon Train NE NERFINISHED

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: Wagon Train | Statement: [Joseph Pevney, workedOn, Wagon Train]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wagon Train
Context triple: [Joseph Pevney, workedOn, Wagon Train]
  • A. Wagon Train chosen
    Wagon Train was a popular American Western television series that followed the adventures and challenges of a wagon master and his crew guiding settlers across the American frontier.
  • B. Winsor Trail
    Winsor Trail is a well-known hiking route in New Mexico that traverses scenic high-country forests and alpine terrain within the Pecos Wilderness near Santa Fe.
  • C. The Chuck Wagon Gang
    The Chuck Wagon Gang is a long-running American Southern gospel music group known for its close harmony singing and influential recordings in the genre.
  • D. Empty Saddles
    "Empty Saddles" is a 1936 American Western film starring Dick Foran as a singing cowboy hero in a frontier adventure.
  • E. Mule Train
    "Mule Train" is a classic American country and pop song, best known for its whip-crack sound effects and its popularity in the late 1940s and early 1950s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e52c2048190952dc5df209b9bed completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15bdeae9c8190a5b66e540484db37 completed April 29, 2026, 1:16 a.m.
Created at: April 16, 2026, 8:48 p.m.