Triple

T15656593
Position Surface form Disambiguated ID Type / Status
Subject Dr. Lance Sweets E376457 entity
Predicate portrayedBy P1507 FINISHED
Object John Francis Daley E77371 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 Francis Daley | Statement: [Dr. Lance Sweets, portrayedBy, John Francis Daley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Francis Daley
Context triple: [Dr. Lance Sweets, portrayedBy, John Francis Daley]
  • A. John Francis Daley chosen
    John Francis Daley is an American actor, screenwriter, and director best known for his role on the TV series "Freaks and Geeks" and for co-writing and directing films such as "Game Night" and "Dungeons & Dragons: Honor Among Thieves."
  • B. Colin Hanks
    Colin Hanks is an American actor and filmmaker known for roles in projects such as "Orange County," "Fargo," and "Life in Pieces."
  • C. William H. Doremus
    William H. Doremus was an American individual notable enough to be interred at Hackensack Cemetery in Hackensack, New Jersey.
  • D. Josh Hutcherson
    Josh Hutcherson is an American actor best known for his role as Peeta Mellark in "The Hunger Games" film series.
  • E. Drew Ballinger
    Drew Ballinger is a fictional character from the 1972 film "Deliverance," known as one of the four men whose canoe trip in rural Georgia turns into a harrowing fight for survival.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ef1f83c8190bbf65eed162cbd55 completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff67994fbc819090f2da267888e8fb completed May 9, 2026, 4:58 p.m.
Created at: April 10, 2026, 4:15 a.m.