Triple

T4033485
Position Surface form Disambiguated ID Type / Status
Subject Slattery’s Hurricane E83768 entity
Predicate starredActor P5563 FINISHED
Object John Russell E287838 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 Russell | Statement: [Slattery’s Hurricane, starredActor, John Russell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Russell
Context triple: [Slattery’s Hurricane, starredActor, John Russell]
  • A. John Russell chosen
    John Russell was an American actor known for his tough, authoritative roles in Western films and television during the mid-20th century.
  • B. Charles Edward Russell
    Charles Edward Russell was an American journalist, muckraker, and social reformer who helped lead the Progressive Era and co-founded the NAACP.
  • C. William Hepburn Russell
    William Hepburn Russell was a 19th-century American businessman best known as a co-founder of the Pony Express.
  • D. William Russell
    William Russell was a British actor best known for his role as schoolteacher Ian Chesterton, one of the original companions in the long-running television series Doctor Who.
  • E. Henry Van Brunt
    Henry Van Brunt was a prominent 19th-century American architect known for his influential role in shaping civic and institutional architecture across the United States.
  • 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_69aed92e29ac819080f7a98b594fec05 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb108fc0819080c8f41da2e558e0 completed March 9, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5629748d88190984cce08eef05e9c completed March 14, 2026, 1:28 p.m.
Created at: March 9, 2026, 3:36 p.m.