Triple

T11289556
Position Surface form Disambiguated ID Type / Status
Subject Morgan Woodward E267287 entity
Predicate notableWork P4 FINISHED
Object Wagon Train E506248 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: Wagon Train | Statement: [Morgan Woodward, notableWork, Wagon Train]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wagon Train
Context triple: [Morgan Woodward, notableWork, 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. 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.
  • E. Have Gun – Will Travel
    Have Gun – Will Travel is a classic American Western television series from the late 1950s and early 1960s that follows the adventures of a sophisticated, gun-for-hire troubleshooter known as Paladin.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e98875a08190b8509fe55e49d52d completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f49badc88190a3195e919900f0c3 completed April 19, 2026, 3:28 p.m.
Created at: April 8, 2026, 9:32 p.m.