Triple

T21816258
Position Surface form Disambiguated ID Type / Status
Subject Sara Smile E538612 entity
Predicate producer P490 FINISHED
Object Christopher Bond 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: Christopher Bond | Statement: [Sara Smile, producer, Christopher Bond]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christopher Bond
Context triple: [Sara Smile, producer, Christopher Bond]
  • A. Christopher Bond
    Christopher Bond is a British playwright best known for creating the dark, revenge-driven stage version of Sweeney Todd that inspired later adaptations.
  • B. Roger Bond
    Roger Bond is an editor known for his work on the film "The Pope Must Die."
  • C. Lionel Bond
    Lionel Bond was a British Army officer who served as a senior commander in Southeast Asia during the late 1930s and early stages of World War II.
  • D. George Burdon
    George Burdon was a British naval officer known for commanding forces that opposed the American privateer John Paul Jones during the 1778 Battle off Carrickfergus in the American Revolutionary War.
  • E. Clive Beddoe
    Clive Beddoe is a Canadian entrepreneur best known as a co-founder and longtime leader of the low-cost airline WestJet.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69e0c473f0f8819086c9d1b4a143bd67 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f07ccac9f08190b835ee7a40ecf4c2 completed April 28, 2026, 9:24 a.m.
Created at: April 16, 2026, 6:54 p.m.