Triple

T13667941
Position Surface form Disambiguated ID Type / Status
Subject Mad Dogs E327670 entity
Predicate hasCastMember P2308 FINISHED
Object Marc Warren E860453 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: Marc Warren | Statement: [Mad Dogs, hasCastMember, Marc Warren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marc Warren
Context triple: [Mad Dogs, hasCastMember, Marc Warren]
  • A. Marc Warren chosen
    Marc Warren is an English actor known for his versatile roles in British television dramas and films, including prominent parts in series like "Hustle" and "Mad Dogs."
  • B. Alistair Smythe
    Alistair Smythe is a Marvel Comics supervillain and scientific genius best known as an enemy of Spider-Man and the creator of the deadly Spider-Slayer robots.
  • C. Alistair Crane
    Alistair Crane is a wealthy, manipulative patriarch and central antagonist in the American soap opera "Passions."
  • D. Nicholas Crane
    Nicholas Crane is a British geographer, author, and television presenter known for his work on geography-themed documentaries and popular science books.
  • E. Paul Griffin
    Paul Griffin was an American session keyboardist renowned for his soulful, inventive playing on landmark recordings by artists such as Bob Dylan, Steely Dan, and countless others.
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc65832688190aea688fee0a7cbdb completed April 12, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7943bfaf0819097410e901847d77c completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:52 p.m.