Triple

T13822840
Position Surface form Disambiguated ID Type / Status
Subject Travels in Hyperreality E332177 entity
Predicate translator P5475 FINISHED
Object William Weaver E1047989 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: William Weaver | Statement: [Travels in Hyperreality, translator, William Weaver]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Weaver
Context triple: [Travels in Hyperreality, translator, William Weaver]
  • A. William Weaver chosen
    William Weaver was a prominent American translator renowned for bringing major Italian literary works, including Umberto Eco’s novels, to English-speaking audiences.
  • B. Jim Douglas
    Jim Douglas is an American Republican politician who served as the 80th Governor of Vermont from 2003 to 2011.
  • C. Jim Douglas
    Jim Douglas is the adventurous racing driver protagonist who becomes the human partner of the sentient Volkswagen Beetle Herbie in Disney’s comedy film series.
  • D. John A. Wilson
    John A. Wilson was a prominent Washington, D.C. politician and public servant, notably serving as chairman of the Council of the District of Columbia.
  • E. William McNamara
    William McNamara is an American actor known for his roles in 1990s thrillers and dramas, including prominent performances in films like "Copycat" and "Wild Hearts Can't Be Broken."
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0284428081908043c55caeefb833 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00d445c4848190b5c97bb27be6c749 completed May 10, 2026, 6:53 p.m.
Created at: April 9, 2026, 10:13 p.m.