Triple

T21116899
Position Surface form Disambiguated ID Type / Status
Subject Thunderpants E520322 entity
Predicate editedBy P1954 FINISHED
Object Michael Ellis E1024787 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: Michael Ellis | Statement: [Thunderpants, editedBy, Michael Ellis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Ellis
Context triple: [Thunderpants, editedBy, Michael Ellis]
  • A. Michael Ellis
    Michael Ellis is a screenwriter best known for co-writing the romantic comedy film "The Wedding Planner."
  • B. Michael Ellis
    Michael Ellis is an entrepreneur best known as the founder of the company Double Negative.
  • C. Michael Ellis chosen
    Michael Ellis is a film editor best known for his work on the British comedy-drama film "Brassed Off."
  • D. Aaron Jeffery
    Aaron Jeffery is a New Zealand-born Australian actor best known for his roles in television dramas such as "McLeod's Daughters" and "Wentworth."
  • E. Charlie Jeffery
    Charlie Jeffery is a British political scientist and academic leader who serves as Vice-Chancellor of the University of York.
  • 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_69e0b50a623881909c0bbaf4f2c055e7 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72106a3b48190a0efa51a74ae21f0 completed April 21, 2026, 7:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0965e5b04c8190addaa49cb9f6ad06 completed May 17, 2026, 6:53 a.m.
Created at: April 16, 2026, 2:55 p.m.