Triple

T7249091
Position Surface form Disambiguated ID Type / Status
Subject The Seven Little Foys E156549 entity
Predicate editor P1954 FINISHED
Object Frank Bracht E310438 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: Frank Bracht | Statement: [The Seven Little Foys, editor, Frank Bracht]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank Bracht
Context triple: [The Seven Little Foys, editor, Frank Bracht]
  • A. Frank Bracht chosen
    Frank Bracht was an American film editor known for his work on mid-20th-century Hollywood productions, including the biographical drama "Harlow" (1965).
  • B. Ron Hagen
    Ron Hagen is a cinematographer best known for his work on the Australian film "Romper Stomper."
  • C. George Strief
    George Strief was a 19th-century American professional baseball player known primarily as an infielder and early major leaguer.
  • D. Walter Scheib
    Walter Scheib was an American chef best known for serving as the White House Executive Chef for the Clinton and George W. Bush administrations.
  • E. William Lichter
    William Lichter is a nerdy, vengeful high school student and one of the central comedic characters in the teen film "Can’t Hardly Wait."
  • 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_69c68827b5e481908dc05e145b2c92d4 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea77a3588190accf31860170f052 completed March 27, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84ede6c4c8190ad7ade8ce3bbc35e completed March 28, 2026, 9:57 p.m.
Created at: March 27, 2026, 2:56 p.m.