Triple

T15445422
Position Surface form Disambiguated ID Type / Status
Subject Bill Veeck E370009 entity
Predicate coAuthor P398 FINISHED
Object Ed Linn E727166 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: Ed Linn | Statement: [Bill Veeck, coAuthor, Ed Linn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ed Linn
Context triple: [Bill Veeck, coAuthor, Ed Linn]
  • A. Edward Linn chosen
    Edward Linn was an American writer and journalist best known for co-authoring notable memoirs, including the bank-robbery autobiography "Where the Money Was."
  • B. J. Miles Dale
    J. Miles Dale is a Canadian film and television producer best known for his Academy Award–winning work on Guillermo del Toro's fantasy romance film "The Shape of Water."
  • C. Dale Van Harlingen
    Dale Van Harlingen is an American experimental physicist known for his influential work on superconductivity and quantum materials at the University of Illinois at Urbana–Champaign.
  • D. Peter Duesler Aurness
    Peter Duesler Aurness, better known by his stage name Peter Graves, was an American actor famed for his role as Jim Phelps in the television series "Mission: Impossible."
  • E. Robert Hillenbrand
    Robert Hillenbrand is a distinguished British art historian renowned for his scholarship on Islamic art and architecture.
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ef666e08190a02a01a676306ab9 completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff21adb6b88190b573068bda223892 completed May 9, 2026, 11:59 a.m.
Created at: April 10, 2026, 3:21 a.m.