Triple

T5613877
Position Surface form Disambiguated ID Type / Status
Subject Peter Sarsgaard E147427 entity
Predicate portrayed P1668 FINISHED
Object Chuck Lane E293699 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: Chuck Lane | Statement: [Peter Sarsgaard, portrayed, Chuck Lane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chuck Lane
Context triple: [Peter Sarsgaard, portrayed, Chuck Lane]
  • A. Sam Lane chosen
    Sam Lane is a recurring DC Comics character, typically portrayed as Lois Lane’s strict and often militaristic father who frequently clashes with Superman.
  • B. Chris Larkin
    Chris Larkin is a British actor known for his work in film, television, and theatre, and for being the son of acclaimed actress Maggie Smith.
  • C. Patrick Lane
    Patrick Lane was a Canadian poet and novelist renowned for his powerful, often dark explorations of nature, memory, and personal struggle.
  • D. Chad Hicks
    Chad Hicks is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Hicks.
  • E. Lane Chandler
    Lane Chandler was an American actor best known for his roles in early Western films during the silent and early sound eras.
  • 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_69c00905d4588190bd967842bbcf2219 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c021226cf88190b70b4b51eb5b4144 completed March 22, 2026, 5:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0287b14708190bc246e982896ad27 completed March 22, 2026, 5:35 p.m.
Created at: March 22, 2026, 3:39 p.m.