Triple

T177900
Position Surface form Disambiguated ID Type / Status
Subject truTV E3615 entity
Predicate rebrandedFrom P65 FINISHED
Object Court TV E22490 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: Court TV | Statement: [truTV, rebrandedFrom, Court TV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Court TV
Context triple: [truTV, rebrandedFrom, Court TV]
  • A. Court TV chosen
    Court TV is a U.S. television network focused on live trial coverage and legal-themed programming.
  • B. Courtroom 600
    Courtroom 600 is the historic chamber in Nuremberg’s Palace of Justice where the post–World War II Nuremberg Trials of major Nazi war criminals were held.
  • C. New Court
    New Court is a prominent quadrangle and set of college buildings at Emmanuel College, Cambridge, known for its historic architecture and role in student life.
  • D. SCJ
    SCJ is the commonly used abbreviation for the Supreme Court of Japan, the country's highest judicial authority.
  • E. Court of Oyer and Terminer
    The Court of Oyer and Terminer was a special colonial Massachusetts tribunal notorious for conducting the Salem witch trials of 1692, during which it authorized numerous executions for alleged witchcraft.
  • 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_69a25374990081909766d30c79a18e0e completed Feb. 28, 2026, 2:31 a.m.
NER Named-entity recognition batch_69a25bafd5808190a0a0cb2b21ce007f completed Feb. 28, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2f0b4f1708190b766e1d9b43038ed completed Feb. 28, 2026, 1:42 p.m.
Created at: Feb. 28, 2026, 2:39 a.m.