Triple

T7989855
Position Surface form Disambiguated ID Type / Status
Subject Lowell Ganz E185973 entity
Predicate notableWork P4 FINISHED
Object Edtv E357003 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: Edtv | Statement: [Lowell Ganz, notableWork, Edtv]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edtv
Context triple: [Lowell Ganz, notableWork, Edtv]
  • A. Edtv chosen
    Edtv is a 1999 American comedy film directed by Ron Howard about an ordinary man whose life is turned into a nonstop reality TV show.
  • B. CDTV
    CDTV is a multimedia home entertainment and computing system developed by Commodore based on Amiga technology, combining a CD-ROM player with a personal computer.
  • C. ES.TV
    ES.TV is an entertainment-focused television network and media brand known for celebrity interviews, movie-related content, and pop culture programming.
  • D. MeTV
    MeTV is an American broadcast television network specializing in classic television programming from the 1950s through the 1990s.
  • E. Antenna TV
    Antenna TV is an American digital multicast television network that primarily airs classic television series from the 1950s through the early 2000s.
  • 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_69ca829c6c308190ab05b43d234c52b2 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c4f98808190879113ad4af9bb4d completed March 31, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0f5c22881908044a178d670684c completed March 31, 2026, 2:57 p.m.
Created at: March 30, 2026, 5:16 p.m.