Triple

T14397611
Position Surface form Disambiguated ID Type / Status
Subject Short Circuit E356989 entity
Predicate hasCharacter P2308 FINISHED
Object Newton Crosby
Newton Crosby is the quirky robotics scientist and creator of the experimental military robot Number 5 in the 1986 sci-fi comedy film "Short Circuit."
E1096641 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: Newton Crosby | Statement: [Short Circuit, hasCharacter, Newton Crosby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Newton Crosby
Context triple: [Short Circuit, hasCharacter, Newton Crosby]
  • A. Josh Crosby
    Josh Crosby is a music producer best known for his work on Owl City’s pop album "The Midsummer Station."
  • B. Michael Nolin
    Michael Nolin is an American film producer best known for his work on the acclaimed music drama "Mr. Holland's Opus."
  • C. Neil Canton
    Neil Canton is an American film producer best known for his work on the Back to the Future trilogy and other major Hollywood films.
  • D. Kevin Cahoon
    Kevin Cahoon is an American actor and singer known for his work in Broadway musicals, television, and film.
  • E. John Crouse
    John Crouse was a prominent member of the Lindsay and Crouse family, known for his role in their business and social prominence.
  • 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: Newton Crosby
Triple: [Short Circuit, hasCharacter, Newton Crosby]
Generated description
Newton Crosby is the quirky robotics scientist and creator of the experimental military robot Number 5 in the 1986 sci-fi comedy film "Short Circuit."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Newton Crosby
Target entity description: Newton Crosby is the quirky robotics scientist and creator of the experimental military robot Number 5 in the 1986 sci-fi comedy film "Short Circuit."
  • A. Josh Crosby
    Josh Crosby is a music producer best known for his work on Owl City’s pop album "The Midsummer Station."
  • B. Michael Nolin
    Michael Nolin is an American film producer best known for his work on the acclaimed music drama "Mr. Holland's Opus."
  • C. Neil Canton
    Neil Canton is an American film producer best known for his work on the Back to the Future trilogy and other major Hollywood films.
  • D. Kevin Cahoon
    Kevin Cahoon is an American actor and singer known for his work in Broadway musicals, television, and film.
  • E. John Crouse
    John Crouse was a prominent member of the Lindsay and Crouse family, known for his role in their business and social prominence.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90826f908190b3969af9b7cf922f completed April 14, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd551cbdb08190a9ea53e607f2555b completed May 8, 2026, 3:14 a.m.
NEDg Description generation batch_69fd55d90ed08190b6a0184715f39ff4 completed May 8, 2026, 3:17 a.m.
NED2 Entity disambiguation (via description) batch_69fd565d32fc8190acc1e733537a23cb completed May 8, 2026, 3:19 a.m.
Created at: April 10, 2026, 1:17 a.m.