Triple

T7536456
Position Surface form Disambiguated ID Type / Status
Subject WGBH Boston E178162 entity
Predicate producedProgram P44733 FINISHED
Object This Old House E594586 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: This Old House | Statement: [WGBH Boston, producedProgram, This Old House]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: This Old House
Context triple: [WGBH Boston, producedProgram, This Old House]
  • A. This Old House chosen
    "This Old House" is a country song written by Thom Schuyler, best known as a reflective narrative about aging, change, and the passage of time.
  • B. DIY Network
    DIY Network was an American cable television channel focused on do-it-yourself home improvement, renovation, and repair programming.
  • C. HGTV
    HGTV is an American cable television network focused on home improvement, real estate, and interior design programming.
  • 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. Fixer Upper
    "Fixer Upper" is a comedic musical number from Disney's animated film Frozen, performed by the trolls as they playfully encourage a romantic match between Anna and Kristoff.
  • 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_69c69f2acdbc8190b5a8320168c1d0ba completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f84db0c48190b2b3d8c5f802f713 completed March 27, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f0c02148190bb5f63cf9891ec0c completed March 28, 2026, 9:58 p.m.
Created at: March 27, 2026, 3:48 p.m.