Triple

T15272057
Position Surface form Disambiguated ID Type / Status
Subject The Red Lantern (1919 film) E365043 entity
Predicate starred P5563 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: [The Red Lantern (1919 film), starred, Mitchell Lewis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mitchell Lewis
Context triple: [The Red Lantern (1919 film), starred, 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 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.
  • D. 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.
  • E. Mitchell Stephens
    Mitchell Stephens is a central character in Russell Banks's novel and its film adaptation "The Sweet Hereafter," portrayed as a troubled lawyer grappling with personal loss while representing a town devastated by a tragic school bus accident.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00950a9988190b67dfbc73b8bdbbc completed April 15, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a6582908190a9a56652e9ccc5a1 completed May 9, 2026, 11:28 a.m.
Created at: April 10, 2026, 3:14 a.m.