Triple

T17305706
Position Surface form Disambiguated ID Type / Status
Subject Peter Craig E420157 entity
Predicate notableWork P4 FINISHED
Object Hot Plastic
"Hot Plastic" is a crime novel by Peter Craig that follows a father-and-son team of con artists navigating high-stakes scams and dangerous underworld entanglements.
 E1261327 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: Hot Plastic | Statement: [Peter Craig, notableWork, Hot Plastic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hot Plastic
Context triple: [Peter Craig, notableWork, Hot Plastic]
  • A. Hot Thing
    "Hot Thing" is a funk-infused track by Prince from his acclaimed 1987 double album *Sign o’ the Times*, noted for its sensual lyrics and dance-driven groove.
  • B. Hot Stuff
    "Hot Stuff" is a 1979 disco hit by Donna Summer that blends dance rhythms with rock influences and became one of her signature songs.
  • C. Hot Stuff
    "Hot Stuff" is a song featured on the album "Come an’ Get It," likely a rock or pop track known for its energetic, catchy style.
  • D. Hot Sugar
    Hot Sugar is an experimental electronic music producer known for creating textured, sample-based compositions often built from unconventional found sounds.
  • E. Hot Spot
    "Hot Spot" is a song by the Boston rock band The Taxi Boys.
  • 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: Hot Plastic
Triple: [Peter Craig, notableWork, Hot Plastic]
Generated description
"Hot Plastic" is a crime novel by Peter Craig that follows a father-and-son team of con artists navigating high-stakes scams and dangerous underworld entanglements.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hot Plastic
Target entity description: "Hot Plastic" is a crime novel by Peter Craig that follows a father-and-son team of con artists navigating high-stakes scams and dangerous underworld entanglements.
  • A. Hot Thing
    "Hot Thing" is a funk-infused track by Prince from his acclaimed 1987 double album *Sign o’ the Times*, noted for its sensual lyrics and dance-driven groove.
  • B. Hot Stuff
    "Hot Stuff" is a 1979 disco hit by Donna Summer that blends dance rhythms with rock influences and became one of her signature songs.
  • C. Hot Stuff
    "Hot Stuff" is a song featured on the album "Come an’ Get It," likely a rock or pop track known for its energetic, catchy style.
  • D. Hot Sugar
    Hot Sugar is an experimental electronic music producer known for creating textured, sample-based compositions often built from unconventional found sounds.
  • E. Hot Spot
    "Hot Spot" is a song by the Boston rock band The Taxi Boys.
  • 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_69d889d22b848190a4663d0b8f8f76e7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e438ff3ee08190ab4c44a22f86b38b completed April 19, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180de8340819081eae1104d705de0 completed May 11, 2026, 7:10 a.m.
NEDg Description generation batch_6a0181ae2d588190a4ff68094529a994 completed May 11, 2026, 7:13 a.m.
NED2 Entity disambiguation (via description) batch_6a0182ccd104819088569cf0be87b4d3 completed May 11, 2026, 7:18 a.m.
Created at: April 10, 2026, 5:43 a.m.