Triple

T9656854
Position Surface form Disambiguated ID Type / Status
Subject William Black E233477 entity
Predicate employedBy P7 FINISHED
Object Daily News E233477 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: Daily News | Statement: [William Black, employedBy, Daily News]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daily News
Context triple: [William Black, employedBy, Daily News]
  • A. Daily News chosen
    Daily News is a newspaper publication for which the Scottish novelist William Black once worked.
  • B. The News
    The News was an earlier Raleigh, North Carolina newspaper that eventually merged or evolved into what is now known as The News & Observer.
  • C. The National News
    The National News was a former English-language newspaper in the United Arab Emirates that preceded and was later rebranded as The National.
  • D. World News Now
    World News Now is an overnight American television news program on ABC known for its offbeat, informal style and coverage of national and international stories.
  • E. DD News
    DD News is an Indian 24-hour television news channel operated by the public service broadcaster Doordarshan, providing national and international news coverage.
  • 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_69ca848c1ba88190b84b410cd14627fc completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9bdd5c0c8190a6c82a1609454d1b completed April 1, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18a07444c819099d7462c38f6da49 completed April 4, 2026, 10 p.m.
Created at: March 30, 2026, 8:14 p.m.