Triple

T6389327
Position Surface form Disambiguated ID Type / Status
Subject Molloy Deep E143778 entity
Predicate namedAfter P63 FINISHED
Object Arthur E. Molloy E143778 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: Arthur E. Molloy | Statement: [Molloy Deep, namedAfter, Arthur E. Molloy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arthur E. Molloy
Context triple: [Molloy Deep, namedAfter, Arthur E. Molloy]
  • A. Arthur E. Molloy chosen
    Arthur E. Molloy was an individual significant enough in marine or exploratory history to have the undersea feature Molloy Deep named in his honor.
  • B. William J. Moloney
    William J. Moloney is known primarily as the husband of American actress and singer Christine Ebersole.
  • C. William A. O'Kelly
    William A. O'Kelly was a significant figure in the history of North Carolina A&T State University, honored for his contributions by having the university’s O'Kelly–Riddick Stadium named after him.
  • D. Thomas E. Molloy
    Thomas E. Molloy was a prominent 20th-century American Roman Catholic prelate who served as the long-time Bishop of Brooklyn, overseeing significant growth and development in the diocese.
  • E. William F. Walsh
    William F. Walsh was an American politician and attorney who served as the mayor of Syracuse, New York, and later as a U.S. Representative from New York.
  • 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_69c008db906c819096f3597d55d95432 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0686cc6d481909c62a29a84a4ce8e completed March 22, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69d05bd623b88190aeecaa70f92e5c3c completed April 4, 2026, 12:31 a.m.
Created at: March 22, 2026, 4:34 p.m.