Triple

T22122857
Position Surface form Disambiguated ID Type / Status
Subject Anne of Green Gables (1934 film) E546715 entity
Predicate screenwriter P2831 FINISHED
Object Sam Mintz 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: Sam Mintz | Statement: [Anne of Green Gables (1934 film), screenwriter, Sam Mintz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sam Mintz
Context triple: [Anne of Green Gables (1934 film), screenwriter, Sam Mintz]
  • A. Sam Mintz chosen
    Sam Mintz was an American screenwriter active during the early to mid-20th century, known for his work on Hollywood films.
  • B. Earl "Hymie" Weiss
    Earl "Hymie" Weiss was a prominent Prohibition-era Chicago mobster and leader of the North Side Gang, known as a fierce rival of Al Capone.
  • C. George A. Hormel
    George A. Hormel was an American entrepreneur and founder of the Hormel Foods Corporation, best known for creating the meatpacking company that later introduced products like SPAM.
  • D. Neil Hamburger
    Neil Hamburger is the alter ego of American comedian Gregg Turkington, known for his deliberately awkward, anti-comedy stand-up persona and offbeat comedy albums.
  • E. Peter Hershey
    Peter Hershey is the son of Nobel Prize–winning bacteriologist and geneticist Alfred Hershey.
  • 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_69e11e38b3848190ac3a4fa97d56e65a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1297f3fb48190b6aaca18b40c37ab completed April 28, 2026, 9:41 p.m.
Created at: April 16, 2026, 8:31 p.m.