Triple

T7560254
Position Surface form Disambiguated ID Type / Status
Subject Captain Ed Mercer E178775 entity
Predicate fullName P16 FINISHED
Object Edward Mercer E127000 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: Edward Mercer | Statement: [Captain Ed Mercer, fullName, Edward Mercer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edward Mercer
Context triple: [Captain Ed Mercer, fullName, Edward Mercer]
  • A. Ed Mercer chosen
    Ed Mercer is the charismatic yet flawed captain of the exploratory spaceship USS Orville in the science fiction comedy-drama series "The Orville."
  • B. Edward Talbot
    Edward Talbot was an Anglican clergyman who became the inaugural Bishop of Southwark in the Church of England.
  • C. Arthur Morton
    Arthur Morton was an American film music orchestrator known for his collaborations with prominent composers on classic Hollywood scores, including the 1968 film "Planet of the Apes."
  • D. Hugh Moxey
    Hugh Moxey was a British character actor known for his supporting roles in mid-20th-century film and television, particularly in crime and science fiction genres.
  • E. Charles Bebb
    Charles Bebb was a prominent early 20th-century American architect based in Seattle, known for helping shape the city's skyline through major commercial and landmark buildings.
  • 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_69c69f2f80288190b95cceb4da92ab2b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8dd96488190b4cca25ae8f7f95c completed March 27, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89a8c3f4c8190af77a94e59d0ff03 completed March 29, 2026, 3:20 a.m.
Created at: March 27, 2026, 3:50 p.m.