Triple

T3430771
Position Surface form Disambiguated ID Type / Status
Subject Babaloo Mandel E72329 entity
Predicate wroteScreenplayFor P15305 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: [Babaloo Mandel, wroteScreenplayFor, Edtv]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edtv
Context triple: [Babaloo Mandel, wroteScreenplayFor, 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. ES.TV
    ES.TV is an entertainment-focused television network and media brand known for celebrity interviews, movie-related content, and pop culture programming.
  • C. MeTV
    MeTV is an American broadcast television network specializing in classic television programming from the 1950s through the 1990s.
  • D. Antenna TV
    Antenna TV is an American digital multicast television network that primarily airs classic television series from the 1950s through the early 2000s.
  • E. Grundy Television
    Grundy Television is a television production company known for creating and producing various scripted series and entertainment programs.
  • 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_69ad85ae14308190bcbc25cfa0246c0b completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb9bd61908190a7bdd01f24334fc3 completed March 8, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69b360cbcb60819095a28e50cac5a4ca completed March 13, 2026, 12:56 a.m.
Created at: March 8, 2026, 3:15 p.m.