Triple

T10236476
Position Surface form Disambiguated ID Type / Status
Subject Weeds E243476 entity
Predicate screenwriter P2831 FINISHED
Object John D. Hancock E852936 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: John D. Hancock | Statement: [Weeds, screenwriter, John D. Hancock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John D. Hancock
Context triple: [Weeds, screenwriter, John D. Hancock]
  • A. John D. Hancock chosen
    John D. Hancock is an American film and television director best known for works such as the cult horror film "Let's Scare Jessica to Death" and various acclaimed TV movies.
  • B. Willard Bartlett
    Willard Bartlett was an American jurist who served as Chief Judge of the New York Court of Appeals in the early 20th century.
  • C. Joseph W. Martin Jr.
    Joseph W. Martin Jr. was an American Republican politician from Massachusetts who served as Speaker of the U.S. House of Representatives and was a prominent congressional leader in the mid-20th century.
  • D. John May
    John May was a Chicago gangster and mechanic for Bugs Moran’s North Side Gang who was killed in the 1929 Saint Valentine’s Day Massacre.
  • E. John A. Whitaker
    John A. Whitaker was an American politician who served as a U.S. Representative from Kentucky 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d219ab04819094a17c96bf1d65ae completed April 7, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71c9c6524819094d42e948c96207e completed April 9, 2026, 3:27 a.m.
Created at: April 6, 2026, 11:22 a.m.