Triple

T17026092
Position Surface form Disambiguated ID Type / Status
Subject Martial Law E413066 entity
Predicate starring P1507 FINISHED
Object Louis Mandylor E966914 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: Louis Mandylor | Statement: [Martial Law, starring, Louis Mandylor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louis Mandylor
Context triple: [Martial Law, starring, Louis Mandylor]
  • A. Louis Mandylor chosen
    Louis Mandylor is an Australian actor and former professional boxer best known for his roles in films such as "My Big Fat Greek Wedding" and various action and genre movies.
  • B. Andre Deyo
    Andre Deyo is a music producer and songwriter best known for his work on Jennifer Lopez’s 2002 album "This Is Me... Then."
  • C. John Pollono
    John Pollono is an American playwright, screenwriter, and actor best known for his gritty stage work like "Small Engine Repair" and for co-writing the film "Stronger."
  • D. Michael Kube-McDowell
    Michael Kube-McDowell is an American science fiction author known for his novels, short stories, and contributions to major franchises such as Star Wars.
  • E. Wil Traval
    Wil Traval is an Australian actor best known for his television roles, including his portrayal of Will Simpson in the Marvel series "Jessica Jones."
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d5d46a5081908bc5681621dd8534 completed April 18, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b53306081908972a0a5db474b6c completed May 10, 2026, 11:57 p.m.
Created at: April 10, 2026, 5:33 a.m.