Triple

T18830584
Position Surface form Disambiguated ID Type / Status
Subject Howard Hawks E460516 entity
Predicate sibling P363 FINISHED
Object William Hawks NE NERFINISHED

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: William Hawks | Statement: [Howard Hawks, sibling, William Hawks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Hawks
Context triple: [Howard Hawks, sibling, William Hawks]
  • A. William Hawks chosen
    William Hawks was an American film producer and the younger brother of renowned director Howard Hawks.
  • B. William Thomas Sampson
    William Thomas Sampson was a United States Navy admiral best known for commanding American naval forces during the Spanish–American War, particularly at the Battle of Santiago de Cuba.
  • C. Edward Preble
    Edward Preble was a prominent early United States naval officer best known for his aggressive and influential leadership in the Mediterranean during the early 19th century.
  • D. Fletcher Chase
    Fletcher Chase is a fictional former CIA operative turned negotiator who is hired to help secure the release of John Paul Getty III in the crime thriller film "All the Money in the World."
  • E. Benjamin K. Humphreys
    Benjamin K. Humphreys was a U.S. Army officer and engineer whose service and contributions to the military led to a major American base in South Korea being named in his honor.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a9992bb081908ba517a5c9d93ef3 completed April 20, 2026, 4:20 a.m.
Created at: April 10, 2026, 11:56 a.m.