Triple

T8315037
Position Surface form Disambiguated ID Type / Status
Subject O. Henry E194684 entity
Predicate employer P7 FINISHED
Object Houston Post E593800 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: Houston Post | Statement: [O. Henry, employer, Houston Post]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Houston Post
Context triple: [O. Henry, employer, Houston Post]
  • A. Houston Post chosen
    The Houston Post was a major daily newspaper in Houston, Texas, known for its influential sports coverage and local reporting before it ceased publication in 1995.
  • B. Houston Chronicle
    The Houston Chronicle is a major daily newspaper based in Houston, Texas, known for its coverage of local, state, and national news.
  • C. The Dallas Morning News
    The Dallas Morning News is a major daily newspaper based in Dallas, Texas, known for its coverage of regional, national, and international news.
  • D. Times-Mail
    The Times-Mail is a local newspaper serving the community of Bedford, Indiana, and the surrounding area with news, sports, and community coverage.
  • E. Pittsburgh Dispatch
    The Pittsburgh Dispatch was a prominent 19th-century Pittsburgh newspaper known for its influential reporting and for employing pioneering investigative journalist Nellie Bly early in her career.
  • 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_69ca82e6e2648190a31eaf6f4f757b2a completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f540b2081908ccb1b2ed040c74e completed March 31, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd9583fa8081909778288f4c96de72 completed April 1, 2026, 10 p.m.
Created at: March 30, 2026, 5:55 p.m.