Triple

T1807014
Position Surface form Disambiguated ID Type / Status
Subject Lebanon, Ohio E40243 entity
Predicate hasNotableResident P1092 FINISHED
Object John McLean E128875 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: John McLean | Statement: [Lebanon, Ohio, hasNotableResident, John McLean]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John McLean
Context triple: [Lebanon, Ohio, hasNotableResident, John McLean]
  • A. John McLean chosen
    John McLean was a prominent early 19th-century Boston merchant and philanthropist whose bequest helped establish the psychiatric institution later named McLean Hospital in his honor.
  • B. John McLean
    John McLean was a 19th-century U.S. Supreme Court justice known for his independent jurisprudence, including notable opinions on federal authority and Native American rights.
  • C. Donald MacLean
    Donald MacLean is a Canadian former professional ice hockey forward best known for his prolific scoring in the minor leagues and brief stints in the NHL.
  • D. Hugh Martin
    Hugh Martin was an American composer and songwriter best known for his work on classic Hollywood musicals, including writing enduring standards for films like "Meet Me in St. Louis."
  • E. John Merrill
    John Merrill is a relatively common personal name that may refer to multiple individuals across different fields, such as politics, sports, or academia.
  • 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_69a88643a3388190a612f2ebe1fb29e7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa6598bd388190b5aa69b972cc8f0a completed March 6, 2026, 5:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5e137bc81908294dd6b67789526 completed March 8, 2026, 5:46 p.m.
Created at: March 4, 2026, 7:32 p.m.