Triple

T11202448
Position Surface form Disambiguated ID Type / Status
Subject Shadows E265072 entity
Predicate castMember P1668 FINISHED
Object Tom Reese E822319 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: Tom Reese | Statement: [Shadows, castMember, Tom Reese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Reese
Context triple: [Shadows, castMember, Tom Reese]
  • A. Tom Reese chosen
    Tom Reese was an American character actor known for his tough-guy roles in numerous Westerns and television series from the 1950s through the 1980s.
  • B. Graeme Wood
    Graeme Wood is an Australian entrepreneur best known as the founder of the online travel booking company Wotif.com.
  • C. Gareth Porter
    Gareth Porter is an American investigative journalist and historian known for his critical reporting on U.S. foreign policy and national security issues.
  • D. David Brock
    David Brock is an American political operative and media figure known for his transformation from conservative journalist to prominent liberal activist and founder of the media watchdog group Media Matters for America.
  • E. Tom Engelhardt
    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.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8c36c188190bfa4d5f8e6cbbbea completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4971d537c8190ab53a2ca18d643f3 completed April 19, 2026, 8:49 a.m.
Created at: April 8, 2026, 9:29 p.m.