Triple

T14301233
Position Surface form Disambiguated ID Type / Status
Subject Doctor Who: Bad Wolf E354566 entity
Predicate parodiesShow P10352 FINISHED
Object What Not to Wear
What Not to Wear is a makeover reality television series in which fashion experts transform participants’ wardrobes and personal style.
E1091491 NE FINISHED

How this triple was built (4 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: What Not to Wear | Statement: [Doctor Who: Bad Wolf, parodiesShow, What Not to Wear]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: What Not to Wear
Context triple: [Doctor Who: Bad Wolf, parodiesShow, What Not to Wear]
  • A. Last Seen Wearing
    "Last Seen Wearing" is a crime novel in Colin Dexter's Inspector Morse series, featuring the detective's investigation into the disappearance of a schoolgirl.
  • B. The Pink Dress
    The Pink Dress is an 1864 Impressionist painting by Frédéric Bazille depicting a woman in a pink gown standing on a terrace overlooking the countryside.
  • C. The Panties
    The Panties is a track by Mos Def featured on his genre-blending album "The New Danger."
  • D. That's Not Her Style
    "That's Not Her Style" is a song by the American rock band Storm Front.
  • E. Everything I'm Not
    "Everything I'm Not" is a pop-rock single by Australian duo The Veronicas, known for its catchy melody and lyrics about self-acceptance and rejecting a toxic relationship.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: What Not to Wear
Triple: [Doctor Who: Bad Wolf, parodiesShow, What Not to Wear]
Generated description
What Not to Wear is a makeover reality television series in which fashion experts transform participants’ wardrobes and personal style.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: What Not to Wear
Target entity description: What Not to Wear is a makeover reality television series in which fashion experts transform participants’ wardrobes and personal style.
  • A. Last Seen Wearing
    "Last Seen Wearing" is a crime novel in Colin Dexter's Inspector Morse series, featuring the detective's investigation into the disappearance of a schoolgirl.
  • B. The Pink Dress
    The Pink Dress is an 1864 Impressionist painting by Frédéric Bazille depicting a woman in a pink gown standing on a terrace overlooking the countryside.
  • C. The Panties
    The Panties is a track by Mos Def featured on his genre-blending album "The New Danger."
  • D. That's Not Her Style
    "That's Not Her Style" is a song by the American rock band Storm Front.
  • E. Everything I'm Not
    "Everything I'm Not" is a pop-rock single by Australian duo The Veronicas, known for its catchy melody and lyrics about self-acceptance and rejecting a toxic relationship.
  • F. None of above. chosen

Provenance (5 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de717fc2348190bb6ba3109bd2871f completed April 14, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d2883e081909c53170ef30b4125 completed May 8, 2026, 1:32 a.m.
NEDg Description generation batch_69fd3dc46b408190b7c515156f81f1fc completed May 8, 2026, 1:35 a.m.
NED2 Entity disambiguation (via description) batch_69fd3eb045488190b44812eb638807ff completed May 8, 2026, 1:38 a.m.
Created at: April 10, 2026, 1:11 a.m.