Triple

T13230244
Position Surface form Disambiguated ID Type / Status
Subject Donna Moss E314994 entity
Predicate hasBoss P40430 FINISHED
Object Josh Lyman E23414 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: Josh Lyman | Statement: [Donna Moss, hasBoss, Josh Lyman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Josh Lyman
Context triple: [Donna Moss, hasBoss, Josh Lyman]
  • A. Josh Lyman chosen
    Josh Lyman is a sharp, ambitious, and often combative Deputy White House Chief of Staff in the political drama series "The West Wing."
  • B. Ben Rhodes
    Ben Rhodes is an American political advisor and speechwriter best known for serving as a top foreign policy aide and close confidant to President Barack Obama.
  • C. Ron Klain
    Ron Klain is an American attorney, political consultant, and longtime Democratic operative who served as White House Chief of Staff under President Joe Biden.
  • D. Francis H. Underwood
    Francis H. Underwood was a 19th-century American editor and literary figure best known for helping to establish and shape the influential magazine The Atlantic Monthly.
  • E. Frank Underwood
    Frank Underwood is a ruthless and cunning American politician who schemes his way to the presidency in the political drama series "House of Cards."
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d336ae08190bfc118cfbefddf84 completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f71f17ba9081909929201be937c2cf completed May 3, 2026, 10:10 a.m.
Created at: April 9, 2026, 9:21 p.m.