Triple

T20743558
Position Surface form Disambiguated ID Type / Status
Subject Harriet Smith E510504 entity
Predicate associatedWith P37 FINISHED
Object Robert Martin E943837 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: Robert Martin | Statement: [Harriet Smith, associatedWith, Robert Martin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Martin
Context triple: [Harriet Smith, associatedWith, Robert Martin]
  • A. Robert Martin chosen
    Robert Martin is a principal character in the Broadway musical comedy "The Drowsy Chaperone," portrayed as the charming groom at the center of the show's wedding-themed plot.
  • B. David Garlan
    David Garlan is a computer scientist known for his influential work in software architecture and formal modeling of software systems.
  • C. P. J. Plauger
    P. J. Plauger is an American computer programmer, author, and entrepreneur known for his influential work on C and C++ standard libraries and his widely read books and columns on software development.
  • D. Bob Martin
    Bob Martin is a Canadian actor and writer best known as the co-creator and original star of the Tony Award–winning musical comedy "The Drowsy Chaperone."
  • E. Andrew Hunt
    Andrew Hunt is a prominent software developer and author best known for co-writing the influential book "The Pragmatic Programmer."
  • 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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c210a2c08190bd767df3188bb401 completed April 21, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08e83dd7408190b0737cf8fbfd7c11 completed May 16, 2026, 9:57 p.m.
Created at: April 16, 2026, 12:33 p.m.