Triple

T9379369
Position Surface form Disambiguated ID Type / Status
Subject Be Cool E225741 entity
Predicate hasWorkTitle P3254 FINISHED
Object Be Cool
Be Cool is a 2005 crime-comedy film and sequel to Get Shorty, following mobster-turned-movie-producer Chili Palmer as he moves into the music industry.
 E794888 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: Be Cool | Statement: [Be Cool, hasWorkTitle, Be Cool]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Be Cool
Context triple: [Be Cool, hasWorkTitle, Be Cool]
  • A. Be Cool
    "Be Cool" is a song featured on the album *Travelogue*, likely known as one of its notable tracks.
  • B. Wanna Be Cool
    "Wanna Be Cool" is a laid-back, surf-inspired track characterized by breezy melodies and relaxed, beachy vibes.
  • C. Sure Be Cool If You Did
    "Sure Be Cool If You Did" is a contemporary country song by American singer Blake Shelton that became a chart-topping hit upon its release in 2013.
  • D. Sure Thing
    "Sure Thing" is a smooth, R&B love song by American singer Miguel that became one of his breakout hits and a fan favorite.
  • E. Boogie Street
    Boogie Street is a song co-written and performed by Sharon Robinson, best known for its prominent collaboration with Leonard Cohen.
  • 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: Be Cool
Triple: [Be Cool, hasWorkTitle, Be Cool]
Generated description
Be Cool is a 2005 crime-comedy film and sequel to Get Shorty, following mobster-turned-movie-producer Chili Palmer as he moves into the music industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Be Cool
Target entity description: Be Cool is a 2005 crime-comedy film and sequel to Get Shorty, following mobster-turned-movie-producer Chili Palmer as he moves into the music industry.
  • A. Be Cool
    "Be Cool" is a song featured on the album *Travelogue*, likely known as one of its notable tracks.
  • B. Wanna Be Cool
    "Wanna Be Cool" is a laid-back, surf-inspired track characterized by breezy melodies and relaxed, beachy vibes.
  • C. Sure Be Cool If You Did
    "Sure Be Cool If You Did" is a contemporary country song by American singer Blake Shelton that became a chart-topping hit upon its release in 2013.
  • D. Sure Thing
    "Sure Thing" is a smooth, R&B love song by American singer Miguel that became one of his breakout hits and a fan favorite.
  • E. Boogie Street
    Boogie Street is a song co-written and performed by Sharon Robinson, best known for its prominent collaboration with Leonard Cohen.
  • 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_69ca842d8ee88190aaaa639aa953185d completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd50bb49bc8190bdad23e120755ac7 completed April 1, 2026, 5:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f4311a548190885d82167199221b completed April 4, 2026, 11:21 a.m.
NEDg Description generation batch_69d0f6a980608190833e5b4af44ccaff completed April 4, 2026, 11:31 a.m.
NED2 Entity disambiguation (via description) batch_69d0f71c72c48190a2d87d262d3d7cb7 completed April 4, 2026, 11:33 a.m.
Created at: March 30, 2026, 7:44 p.m.