Triple

T21448643
Position Surface form Disambiguated ID Type / Status
Subject Craig Bolotin E529144 entity
Predicate notableWork P4 FINISHED
Object Light It Up
Light It Up is a 1999 American drama-thriller film about a group of students who take their high school hostage to protest injustice and systemic inequality.
 E1485539 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: Light It Up | Statement: [Craig Bolotin, notableWork, Light It Up]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Light It Up
Context triple: [Craig Bolotin, notableWork, Light It Up]
  • A. Light It Up
    "Light It Up" is a popular electronic dance track by Major Lazer, known for its infectious beat and global chart success.
  • B. Light It Up
    "Light It Up" is a country song by Luke Bryan that served as the lead single from his album "What Makes You Country."
  • C. Light Up
    "Light Up" is a song by Canadian rapper Drake featuring Jay-Z from his debut studio album "Thank Me Later."
  • D. Shoot Out the Lights
    Shoot Out the Lights is a critically acclaimed 1982 folk-rock album by Richard and Linda Thompson, renowned for its emotionally intense songwriting and guitar work chronicling the collapse of their marriage.
  • E. Lit Up
    "Lit Up" is a song by the American rock band Alligator.
  • 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: Light It Up
Triple: [Craig Bolotin, notableWork, Light It Up]
Generated description
Light It Up is a 1999 American drama-thriller film about a group of students who take their high school hostage to protest injustice and systemic inequality.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Light It Up
Target entity description: Light It Up is a 1999 American drama-thriller film about a group of students who take their high school hostage to protest injustice and systemic inequality.
  • A. Light It Up
    "Light It Up" is a popular electronic dance track by Major Lazer, known for its infectious beat and global chart success.
  • B. Light It Up
    "Light It Up" is a country song by Luke Bryan that served as the lead single from his album "What Makes You Country."
  • C. Light Up
    "Light Up" is a song by Canadian rapper Drake featuring Jay-Z from his debut studio album "Thank Me Later."
  • D. Shoot Out the Lights
    Shoot Out the Lights is a critically acclaimed 1982 folk-rock album by Richard and Linda Thompson, renowned for its emotionally intense songwriting and guitar work chronicling the collapse of their marriage.
  • E. Lit Up
    "Lit Up" is a song by the American rock band Alligator.
  • 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_69e0c457579481909db68053ed99750c completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9d11ca48190aafe25c97dfa5578 completed April 23, 2026, 9:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09c907cb9c8190b4a50551b274a915 completed May 17, 2026, 1:56 p.m.
NEDg Description generation batch_6a09ca21f52481909aa6033dbe4c5985 completed May 17, 2026, 2:01 p.m.
NED2 Entity disambiguation (via description) batch_6a09cb9587a88190b0e1c0d25d3733da completed May 17, 2026, 2:07 p.m.
Created at: April 16, 2026, 6:06 p.m.