Triple

T17362139
Position Surface form Disambiguated ID Type / Status
Subject Ann Dvorak E422094 entity
Predicate notableWork P4 FINISHED
Object G Men E390484 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: G Men | Statement: [Ann Dvorak, notableWork, G Men]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: G Men
Context triple: [Ann Dvorak, notableWork, G Men]
  • A. G Men chosen
    G Men is a 1935 American crime film starring James Cagney as a law school graduate who joins the FBI to battle organized crime.
  • B. The Men
    The Men is a 1950 American drama film notable for being Marlon Brando’s feature film debut and for its realistic portrayal of a paralyzed World War II veteran’s struggles to readjust to civilian life.
  • C. The U-Men
    The U-Men were a pioneering 1980s Seattle underground rock band whose noisy, off-kilter sound helped lay the groundwork for the grunge movement.
  • D. The Big Dudes
    The Big Dudes were a South African backing band best known for performing and recording with pop icon Brenda Fassie during the 1980s.
  • E. Boyz
    "Boyz" is a popular Punjabi song by Indian singer and lyricist Karan Aujla, known for its catchy beat and street-style lyrics.
  • 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a4d6de88190b816b93ff5778157 completed April 19, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0195609d988190b7a70f8eabf75eaa completed May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:44 a.m.