Triple

T4677828
Position Surface form Disambiguated ID Type / Status
Subject Leo White E103723 entity
Predicate notableWork P4 FINISHED
Object The Pawnshop
The Pawnshop is a creative work associated with Leo White, likely a film or theatrical production in which he was prominently involved.
 E460396 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: The Pawnshop | Statement: [Leo White, notableWork, The Pawnshop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Pawnshop
Context triple: [Leo White, notableWork, The Pawnshop]
  • A. Bad Penny
    "Bad Penny" is a song by the American noise rock band Big Black, featured on their influential 1987 album *Songs About Fucking*.
  • B. The Horseshoe
    The Horseshoe is the iconic, horseshoe-shaped football stadium at The Ohio State University, officially known as Ohio Stadium.
  • C. Le Tote
    Le Tote is a fashion rental subscription service company that expanded into traditional retail by acquiring the historic department store chain Lord & Taylor.
  • D. The Curious Bank
    The Curious Bank is the marketing slogan used by Fifth Third Bank to convey its distinctive, inquisitive approach to banking and customer service.
  • E. The Safecracker
    The Safecracker is a 1958 British crime drama film starring Ray Milland as a professional safe-breaker who becomes entangled in a dangerous wartime mission.
  • 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: The Pawnshop
Triple: [Leo White, notableWork, The Pawnshop]
Generated description
The Pawnshop is a creative work associated with Leo White, likely a film or theatrical production in which he was prominently involved.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: The Pawnshop
Target entity description: The Pawnshop is a creative work associated with Leo White, likely a film or theatrical production in which he was prominently involved.
  • A. Bad Penny
    "Bad Penny" is a song by the American noise rock band Big Black, featured on their influential 1987 album *Songs About Fucking*.
  • B. The Horseshoe
    The Horseshoe is the iconic, horseshoe-shaped football stadium at The Ohio State University, officially known as Ohio Stadium.
  • C. Le Tote
    Le Tote is a fashion rental subscription service company that expanded into traditional retail by acquiring the historic department store chain Lord & Taylor.
  • D. The Curious Bank
    The Curious Bank is the marketing slogan used by Fifth Third Bank to convey its distinctive, inquisitive approach to banking and customer service.
  • E. The Safecracker
    The Safecracker is a 1958 British crime drama film starring Ray Milland as a professional safe-breaker who becomes entangled in a dangerous wartime mission.
  • 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_69bd43dda32c8190938b37744ca270fc completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd63698a548190831863adddd32f31 completed March 20, 2026, 3:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03a0d5c88190a9b40e1ca7d165ff completed March 21, 2026, 2:34 a.m.
NEDg Description generation batch_69be04f8aeac81909ec199c83af6df39 completed March 21, 2026, 2:39 a.m.
NED2 Entity disambiguation (via description) batch_69be05608ee08190acf947144998660c completed March 21, 2026, 2:41 a.m.
Created at: March 20, 2026, 1:16 p.m.