Triple

T18192692
Position Surface form Disambiguated ID Type / Status
Subject Nick Daley E435579 entity
Predicate createdBy P806 FINISHED
Object Thomas Lennon NE NERFINISHED

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: Thomas Lennon | Statement: [Nick Daley, createdBy, Thomas Lennon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas Lennon
Context triple: [Nick Daley, createdBy, Thomas Lennon]
  • A. Thomas Lennon chosen
    Thomas Lennon is an American actor, comedian, and screenwriter known for co-writing hit comedy films such as the "Night at the Museum" series and for his role on the TV show "Reno 911!".
  • B. Hugh McDermott
    Hugh McDermott was a Scottish actor known for his supporting roles in British films of the 1930s and 1940s.
  • C. John McNulta
    John McNulta was a 19th-century American lawyer, Civil War officer, and U.S. Representative from Illinois.
  • D. Johnny Loughran
    Johnny Loughran is the energetic, easygoing human who becomes Dracula’s son-in-law and a central comedic character in the Hotel Transylvania animated film series.
  • E. John Ronane
    John Ronane was a British actor known for his work in film, television, and theatre, including a role in the drama "Elizabeth R."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90c7ec081909b4694ccecb449c6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e0d05974819094b4a50d081be881 completed April 19, 2026, 2:04 p.m.
Created at: April 10, 2026, 10:31 a.m.