Triple

T10236480
Position Surface form Disambiguated ID Type / Status
Subject Weeds E243476 entity
Predicate starring P1507 FINISHED
Object Matthew Modine E47801 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: Matthew Modine | Statement: [Weeds, starring, Matthew Modine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matthew Modine
Context triple: [Weeds, starring, Matthew Modine]
  • A. Matthew Modine chosen
    Matthew Modine is an American actor best known for his roles in films like "Full Metal Jacket" and the series "Stranger Things."
  • B. Jason Patric
    Jason Patric is an American film and stage actor known for roles in movies such as "The Lost Boys," "Sleepers," and "Speed 2: Cruise Control."
  • C. Robert Urich
    Robert Urich was an American actor best known for his roles in television series such as "Vega$," "Spenser: For Hire," and "Lonesome Dove."
  • D. James Remar
    James Remar is an American character actor known for his intense and often villainous roles in film and television, including notable performances in projects like "Dexter," "The Warriors," and "48 Hrs."
  • E. William Hurt
    William Hurt was an acclaimed American actor known for his intense, introspective performances in films such as "Kiss of the Spider Woman," "Broadcast News," and "The Big Chill."
  • 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_69d94ae0a9608190ab241b6a62fe807b completed April 10, 2026, 7:09 p.m.
Created at: April 6, 2026, 11:22 a.m.