Triple

T1323257
Position Surface form Disambiguated ID Type / Status
Subject Michael Klare E28266 entity
Predicate hasWrittenFor P11775 FINISHED
Object TomDispatch E26028 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: TomDispatch | Statement: [Michael Klare, hasWrittenFor, TomDispatch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TomDispatch
Context triple: [Michael Klare, hasWrittenFor, TomDispatch]
  • A. Tom Engelhardt chosen
    Tom Engelhardt is an American editor, essayist, and critic best known for founding and running the political commentary site TomDispatch, where he writes extensively on U.S. foreign policy, militarism, and empire.
  • B. John Nichols
    John Nichols is an American local politician serving as the mayor of College Station, Texas.
  • C. Dispatch News Service
    Dispatch News Service was an American independent news agency best known for breaking investigative stories during the Vietnam War, including exposing the My Lai massacre to the wider public.
  • D. Juan Cole
    Juan Cole is an American historian and commentator best known for his expertise on the modern Middle East and U.S. foreign policy.
  • E. Greg Kouri
    Greg Kouri was a Canadian entrepreneur and early investor best known for co-founding Zip2 alongside Elon and Kimbal Musk.
  • 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_69a498540a2481909e807a762280d3ba completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c19caa148190a1f5be734b7d9005 completed March 1, 2026, 10:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbf2e13dc8190902879be5fa69adb completed March 8, 2026, 12:13 a.m.
Created at: March 1, 2026, 7:55 p.m.