Triple

T21349031
Position Surface form Disambiguated ID Type / Status
Subject Gaetano Gaudio E526422 entity
Predicate notableWork P4 FINISHED
Object The Iron Horse 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: The Iron Horse | Statement: [Gaetano Gaudio, notableWork, The Iron Horse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Iron Horse
Context triple: [Gaetano Gaudio, notableWork, The Iron Horse]
  • A. The Iron Horse chosen
    The Iron Horse is a 1924 silent Western film directed by John Ford that dramatizes the building of the first transcontinental railroad in the United States.
  • B. The Iron Horse
    The Iron Horse is the legendary New York Yankees first baseman Lou Gehrig, renowned for his durability, power hitting, and record-setting consecutive games played streak.
  • C. The Railroader
    The Railroader is a film also known as Railroad Boy, likely centered on themes of railroads or railway life.
  • D. The Railroad
    The Railroad is a 19th-century American folk song, also known as "The Railway," that reflects the expansion of rail transport and its impact on society.
  • E. Big Iron
    "Big Iron" is a classic 1959 Western ballad by Marty Robbins that tells the story of an Arizona Ranger’s deadly showdown with an outlaw.
  • 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_69e0b51cd5cc81909ac1187971e8a8ad completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee5baab4e081908916a289c607cf3a completed April 26, 2026, 6:38 p.m.
Created at: April 16, 2026, 5:02 p.m.