Triple

T4276048
Position Surface form Disambiguated ID Type / Status
Subject pyboard E97049 entity
Predicate hasCreator P806 FINISHED
Object Damien P. George E248849 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: Damien P. George | Statement: [pyboard, hasCreator, Damien P. George]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Damien P. George
Context triple: [pyboard, hasCreator, Damien P. George]
  • A. Damien P. George chosen
    Damien P. George is a British physicist and software engineer best known for creating MicroPython, a lean implementation of Python for microcontrollers and embedded systems.
  • B. Andrew D. Martin
    Andrew D. Martin is an American political scientist and academic administrator who serves as the chancellor of Washington University in St. Louis.
  • C. Michael T. Williamson
    Michael T. Williamson is an American actor best known for his role as Benjamin Buford "Bubba" Blue in the film Forrest Gump.
  • D. Stephen M. Kellen
    Stephen M. Kellen was a prominent financier and philanthropist known for his leadership at Arnhold and S. Bleichroeder and his significant support of cultural and educational institutions.
  • E. Michael V. Drake
    Michael V. Drake is an American academic leader and physician who has served as president of both The Ohio State University and the University of California system.
  • 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_69b34544be3c819084d1ab82d29f90c5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3501d677481909e7416a1d2b0008c completed March 12, 2026, 11:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e4e7a7cc8190a2ffc15c236f80d5 completed March 14, 2026, 10:44 p.m.
Created at: March 12, 2026, 11:07 p.m.