Triple

T9795368
Position Surface form Disambiguated ID Type / Status
Subject I Shot an Arrow into the Air E237703 entity
Predicate castMember P1668 FINISHED
Object Edward Binns E578539 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 Binns | Statement: [I Shot an Arrow into the Air, castMember, Edward Binns]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edward Binns
Context triple: [I Shot an Arrow into the Air, castMember, Edward Binns]
  • A. Edward Binns chosen
    Edward Binns was an American character actor known for his prolific work in mid-20th-century film, television, and theater, often portraying authoritative or hard-edged supporting roles.
  • B. Edward Linn
    Edward Linn was an American writer and journalist best known for co-authoring notable memoirs, including the bank-robbery autobiography "Where the Money Was."
  • C. Thomas Mayne
    Thomas Mayne was an Australian food scientist best known for creating the chocolate malted milk drink Milo in the 1930s.
  • D. Edward Mills
    Edward Mills was a British architect known for designing the International Maritime Organization (IMO) Headquarters in London.
  • E. William Ashburner
    William Ashburner was a 19th-century American mining engineer and geologist known for his work in mineral surveying and resource assessment in the western 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_69ca84dc04488190b9c91193976c0960 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda34916dc8190acef2ba003e56a33 completed April 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69d2699ec50481908d83d3d22e102fb2 completed April 5, 2026, 1:54 p.m.
Created at: March 30, 2026, 8:28 p.m.