Triple

T19545745
Position Surface form Disambiguated ID Type / Status
Subject William V. Mong E489042 entity
Predicate name P16 FINISHED
Object William V. Mong 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 V. Mong | Statement: [William V. Mong, name, William V. Mong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William V. Mong
Context triple: [William V. Mong, name, William V. Mong]
  • A. William V. Mong chosen
    William V. Mong was an American character actor of the silent and early sound film era, known for his prolific work in early Hollywood cinema.
  • B. Vernon J. Mungo
    Vernon J. Mungo is a songwriter and music producer known for his work on tracks such as "Who Is She 2 U."
  • C. Victor F. Lawson
    Victor F. Lawson was an influential American newspaper publisher best known for transforming the Chicago Daily News into a leading and innovative metropolitan daily in the late 19th and early 20th centuries.
  • D. Warren Low
    Warren Low was a Hollywood film editor known for his work on numerous studio productions during the mid-20th century.
  • E. Warren C. Giles
    Warren C. Giles was a prominent Major League Baseball executive who served as president of the Cincinnati Reds and later as president of the National League.
  • 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63876bacc8190b17e2087de679785 completed April 20, 2026, 2:30 p.m.
Created at: April 10, 2026, 1:41 p.m.