Triple

T1139447
Position Surface form Disambiguated ID Type / Status
Subject Josh Lyman E23414 entity
Predicate hasCloseColleague P11349 FINISHED
Object Toby Ziegler E40003 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: Toby Ziegler | Statement: [Josh Lyman, hasCloseColleague, Toby Ziegler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toby Ziegler
Context triple: [Josh Lyman, hasCloseColleague, Toby Ziegler]
  • A. Toby Ziegler chosen
    Toby Ziegler is a central fictional character on the television series "The West Wing," serving as the White House Communications Director known for his sharp intellect, moral conviction, and often dour demeanor.
  • B. Toby Pohlen
    Toby Pohlen is a member of the team at xAI, the artificial intelligence company founded by Elon Musk.
  • C. Tyler Volk
    Tyler Volk is an American biologist, author, and professor known for his work on biosphere science, global ecology, and the evolution of complex systems.
  • D. Evan Schiff
    Evan Schiff is a film editor known for his work on high-profile action movies, including entries in the John Wick franchise.
  • E. Jacob Zeilin
    Jacob Zeilin was the seventh Commandant of the United States Marine Corps, noted for formalizing key Marine Corps symbols and traditions in the 19th century.
  • 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_69a493ef399c8190b04b9146d2314f59 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc27c88881909c64ec30b7f66575 completed March 1, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac6f11a31481909e11a01b12841b3d completed March 7, 2026, 6:31 p.m.
Created at: March 1, 2026, 7:44 p.m.