Triple

T16866506
Position Surface form Disambiguated ID Type / Status
Subject Blackmoor E410052 entity
Predicate associatedWithCharacter P1481 FINISHED
Object Lawrence Talbot E410051 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: Lawrence Talbot | Statement: [Blackmoor, associatedWithCharacter, Lawrence Talbot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lawrence Talbot
Context triple: [Blackmoor, associatedWithCharacter, Lawrence Talbot]
  • A. Lawrence Talbot chosen
    Lawrence Talbot is the tormented nobleman who becomes a cursed werewolf at the center of the 2010 horror film "The Wolfman."
  • B. Julian Rathbone
    Julian Rathbone was a British novelist known for his eclectic, genre-blending fiction and politically charged historical and crime novels.
  • C. Lyle Talbot
    Lyle Talbot was an American actor known for his prolific work in film and television from the 1930s through the 1980s, including roles in both major studio productions and low-budget cult classics.
  • D. Jean Byron
    Jean Byron was an American actress best known for her role as the mother, Natalie Lane, on the 1960s television sitcom "The Patty Duke Show."
  • E. Lucien Laviscount
    Lucien Laviscount is a British actor and former teen heartthrob best known for his roles in television series such as "Emily in Paris," "Scream Queens," and "Waterloo Road."
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b5088f208190abfe937633ebe3fe completed April 18, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7a08be48190bd2dbf83205c83ad completed May 10, 2026, 6 p.m.
Created at: April 10, 2026, 5:24 a.m.