Triple

T16417519
Position Surface form Disambiguated ID Type / Status
Subject The Menacing Mist E398727 entity
Predicate featuresActor P15562 FINISHED
Object Jack Perrin E489069 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: Jack Perrin | Statement: [The Menacing Mist, featuresActor, Jack Perrin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack Perrin
Context triple: [The Menacing Mist, featuresActor, Jack Perrin]
  • A. Jack Perrin chosen
    Jack Perrin was an American actor best known for his prolific work in silent and early sound Western films during the early 20th century.
  • B. Brian Pippard
    Brian Pippard was a prominent British physicist known for his pioneering work in superconductivity and for serving as Cavendish Professor of Physics at the University of Cambridge.
  • C. Brian Percival
    Brian Percival is a British film and television director best known for his work on the historical drama series "Downton Abbey" and various acclaimed period pieces.
  • D. Geoffrey Smith
    Geoffrey Smith is an Australian Anglican archbishop who serves as the national leader (Primate) of the Anglican Church of Australia.
  • E. Neil Pearson
    Neil Pearson is a British actor known for his work in television, film, and theatre, including prominent roles in series like "Drop the Dead Donkey" and "Between the Lines."
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e328798a488190a5fad01c3c95584c completed April 18, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c6ca1bc8190a6c4f675ec8e3a53 completed May 10, 2026, 8:06 a.m.
Created at: April 10, 2026, 5:09 a.m.