Triple

T15814581
Position Surface form Disambiguated ID Type / Status
Subject Mitchell Lewis E383441 entity
Predicate name P16 FINISHED
Object Mitchell Lewis E383441 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: Mitchell Lewis | Statement: [Mitchell Lewis, name, Mitchell Lewis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mitchell Lewis
Context triple: [Mitchell Lewis, name, Mitchell Lewis]
  • A. Mitchell Lewis chosen
    Mitchell Lewis was an American film actor of the silent and early sound era, known for his rugged character roles in numerous dramas and adventure films.
  • B. Mitchell Robertson
    Mitchell Robertson is an actor known for his role in the film "From Darkness."
  • C. Mitchell Laurance
    Mitchell Laurance is an American actor known for his character roles in film and television, including a part in the thriller "The Hand That Rocks the Cradle."
  • D. Mitchell Ryan
    Mitchell Ryan was an American character actor known for his tough, authoritative roles in film and television, including notable appearances in projects like Magnum Force and Lethal Weapon.
  • E. Mitchell Reiss
    Mitchell Reiss is an American diplomat and academic known for his role in U.S. foreign policy and peace negotiations, particularly related to Northern Ireland.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0c4a1571881909488728f123865ad completed April 16, 2026, 11:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff28f63c88190968ecbd4706b1331 completed May 10, 2026, 2:50 a.m.
Created at: April 10, 2026, 4:49 a.m.