Triple

T12213739
Position Surface form Disambiguated ID Type / Status
Subject Johanna Barker E291030 entity
Predicate hasFather P1908 FINISHED
Object Benjamin Barker E908922 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: Benjamin Barker | Statement: [Johanna Barker, hasFather, Benjamin Barker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benjamin Barker
Context triple: [Johanna Barker, hasFather, Benjamin Barker]
  • A. Benjamin Barker chosen
    Benjamin Barker is the wrongfully imprisoned barber who returns to London under the alias Sweeney Todd to seek revenge in Stephen Sondheim’s musical and its adaptations.
  • B. Will Turpin
    Will Turpin is an American musician best known as the longtime bassist for the rock band Collective Soul.
  • C. Roger the Dodger
    Roger the Dodger is the famed Hall of Fame NFL quarterback Roger Staubach, celebrated for his elusive scrambling ability and clutch performances with the Dallas Cowboys.
  • D. Marty Fogg
    Marty Fogg is a musician and composer known for creating the music for the song "I'm Still Here."
  • E. Simon Farnaby
    Simon Farnaby is a British actor, comedian, and screenwriter known for his work on projects like Paddington 2, Ghosts, and Horrible Histories.
  • 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c931cec819083ca19be06a33e1c completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60aa13f64819096dc23295a6f0cdb completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:51 p.m.