Triple

T3971113
Position Surface form Disambiguated ID Type / Status
Subject His Girl Friday E92336 entity
Predicate editedBy P1954 FINISHED
Object Gene Havlick E335544 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: Gene Havlick | Statement: [His Girl Friday, editedBy, Gene Havlick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gene Havlick
Context triple: [His Girl Friday, editedBy, Gene Havlick]
  • A. Gene Havlick chosen
    Gene Havlick was an American film editor known for his work on numerous classic Hollywood films, including collaborations on major studio productions in the 1930s and 1940s.
  • B. John Hadl
    John Hadl was an American football quarterback and punter who starred at the University of Kansas before enjoying a long professional career, most notably with the San Diego Chargers in the AFL and NFL.
  • C. Charles Rettig
    Charles Rettig is an American tax attorney who served as the Commissioner of the Internal Revenue Service (IRS) from 2018 to 2022.
  • D. Curt Rothenberger
    Curt Rothenberger was a German jurist and high-ranking Nazi official who played a key role in implementing and justifying the Third Reich’s oppressive legal policies.
  • E. Richard Hudnut
    Richard Hudnut was an American businessman and pioneer in the modern cosmetics and perfume industry, known for building one of the first major beauty product empires in the early 20th century.
  • 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_69aed96624188190ac8c45bb57ab72b5 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef995d27881908b24a5b2ef57455f completed March 9, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c443e208190a8bf83ec642a142e completed March 14, 2026, 11:53 a.m.
Created at: March 9, 2026, 3:32 p.m.