Triple

T4505450
Position Surface form Disambiguated ID Type / Status
Subject Max E101320 entity
Predicate offersContentFrom P8172 FINISHED
Object HGTV E52601 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: HGTV | Statement: [Max, offersContentFrom, HGTV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HGTV
Context triple: [Max, offersContentFrom, HGTV]
  • A. HGTV chosen
    HGTV is an American cable television network focused on home improvement, real estate, and interior design programming.
  • B. DIY Network
    DIY Network was an American cable television channel focused on do-it-yourself home improvement, renovation, and repair programming.
  • C. Better Homes and Gardens
    Better Homes and Gardens is a long-running American lifestyle magazine and brand focused on home décor, gardening, cooking, and family living.
  • D. Extreme Makeover: Home Edition
    Extreme Makeover: Home Edition is an American reality television series in which deserving families receive dramatic, fast-paced home renovations and rebuilds.
  • E. The Nate Berkus Show
    The Nate Berkus Show was a daytime television talk show hosted by interior designer Nate Berkus, focusing on home makeovers, lifestyle advice, and personal inspiration.
  • 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_69bd43d175248190894dc58b5b395c26 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd6231856c8190be9386a0ae15e7cf completed March 20, 2026, 3:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd6f9961ac8190954b2d352d2319fb completed March 20, 2026, 4:02 p.m.
Created at: March 20, 2026, 1:01 p.m.