Triple

T23264016
Position Surface form Disambiguated ID Type / Status
Subject Lewis Teague E582094 entity
Predicate notableWork P4 FINISHED
Object Collision Course
Collision Course is a 1989 action-comedy film starring Jay Leno and Pat Morita, known for its buddy-cop dynamic between a Detroit detective and a Japanese investigator.
E1576492 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: Collision Course | Statement: [Lewis Teague, notableWork, Collision Course]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Collision Course
Context triple: [Lewis Teague, notableWork, Collision Course]
  • A. Collision Course
    Collision Course is a song by the American punk rock band Rancid, featured on their album "Honor Is All We Know."
  • B. Collide
    "Collide" is a popular Christian rock song by the band Skillet, known for its emotionally intense lyrics and powerful, guitar-driven sound.
  • C. Collide
    "Collide" is a song by British singer-songwriter James Bay from his debut studio album, *Chaos and the Calm*.
  • D. Collide
    "Collide" is a studio album by American R&B group Boyz II Men that showcases their signature harmonies blended with contemporary soul and pop influences.
  • E. Collide
    "Collide" is a song by the British singer-songwriter Glassheart, known for its emotive vocals and contemporary pop production.
  • 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: Collision Course
Triple: [Lewis Teague, notableWork, Collision Course]
Generated description
Collision Course is a 1989 action-comedy film starring Jay Leno and Pat Morita, known for its buddy-cop dynamic between a Detroit detective and a Japanese investigator.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Collision Course
Target entity description: Collision Course is a 1989 action-comedy film starring Jay Leno and Pat Morita, known for its buddy-cop dynamic between a Detroit detective and a Japanese investigator.
  • A. Collision Course
    Collision Course is a collaborative EP by Linkin Park and rapper Jay-Z that blends rock and hip-hop through mashups of their hit songs.
  • B. Collision Course
    Collision Course is a song by the American punk rock band Rancid, featured on their album "Honor Is All We Know."
  • C. Collide
    "Collide" is a popular Christian rock song by the band Skillet, known for its emotionally intense lyrics and powerful, guitar-driven sound.
  • D. Collide
    "Collide" is a song by British singer-songwriter James Bay from his debut studio album, *Chaos and the Calm*.
  • E. Collide
    "Collide" is a studio album by American R&B group Boyz II Men that showcases their signature harmonies blended with contemporary soul and pop influences.
  • 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_69e246079f58819085eaa9c260906880 completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f194cb76c48190869915cd93b44fcc completed April 29, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c3f723d4081909c2ff75ba4ada497 completed May 19, 2026, 10:46 a.m.
NEDg Description generation batch_6a0c405be1188190b6622665e448bbe7 completed May 19, 2026, 10:50 a.m.
NED2 Entity disambiguation (via description) batch_6a0c40bece448190bb9fd1a3058a1f06 completed May 19, 2026, 10:51 a.m.
Created at: April 17, 2026, 4:11 p.m.