Triple

T9854822
Position Surface form Disambiguated ID Type / Status
Subject Weeds E239556 entity
Predicate starring P1507 FINISHED
Object Martin Donovan E226318 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: Martin Donovan | Statement: [Weeds, starring, Martin Donovan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martin Donovan
Context triple: [Weeds, starring, Martin Donovan]
  • A. Martin Donovan chosen
    Martin Donovan is an American screenwriter, director, and actor known for his work on darkly comedic and genre-blending films such as "Death Becomes Her."
  • B. Matt Donovan
    Matt Donovan is a central human character in the supernatural drama series "The Vampire Diaries," known for his loyalty, moral compass, and resilience amid the chaos of Mystic Falls.
  • C. Jack Donnelly
    Jack Donnelly is a British actor best known for starring as Jason in the BBC fantasy-adventure series "Atlantis."
  • D. Jeffrey Donovan
    Jeffrey Donovan is an American actor best known for starring as Michael Westen in the television series "Burn Notice" and appearing in films such as "Sicario" and its sequel.
  • E. Donovan Morgan
    Donovan Morgan is a standout Arena Football League wide receiver best known for his prolific scoring and record-setting performances, particularly with the Philadelphia Soul.
  • 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_69ca84e4fdc08190a624425bcef98665 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3960fb481909c90d6d6cafc6222 completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2fff34bb08190bebd5089324782dd completed April 6, 2026, 12:36 a.m.
Created at: March 30, 2026, 8:34 p.m.