Triple

T5861336
Position Surface form Disambiguated ID Type / Status
Subject War E130280 entity
Predicate hasTrack P3284 FINISHED
Object Red Light
"Red Light" is a song by the American rock band War, known for their fusion of funk, rock, and Latin influences.
 E550424 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: Red Light | Statement: [War, hasTrack, Red Light]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Red Light
Context triple: [War, hasTrack, Red Light]
  • A. Red Light, Green Light
    Red Light, Green Light is a deadly children's game adaptation featured in the South Korean series "Squid Game," where players must move only when permitted and face lethal consequences if caught.
  • B. Bright Lights
    "Bright Lights" is a popular rock song by American band Matchbox Twenty, known for its emotive lyrics and piano-driven melody.
  • C. Green Light
    "Green Light" is a 1935 American drama film, adapted from Lloyd C. Douglas's novel, for which Samson Raphaelson wrote the screenplay.
  • D. Green Light
    "Green Light" is an upbeat, dance-pop and R&B single by John Legend featuring André 3000, known for its energetic tempo and departure from Legend’s usual soulful ballad style.
  • E. Green Light
    "Green Light" is an upbeat R&B-pop song by Beyoncé, known for its brassy production, assertive lyrics, and energetic vocal performance.
  • 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: Red Light
Triple: [War, hasTrack, Red Light]
Generated description
"Red Light" is a song by the American rock band War, known for their fusion of funk, rock, and Latin influences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Red Light
Target entity description: "Red Light" is a song by the American rock band War, known for their fusion of funk, rock, and Latin influences.
  • A. Red Light, Green Light
    Red Light, Green Light is a deadly children's game adaptation featured in the South Korean series "Squid Game," where players must move only when permitted and face lethal consequences if caught.
  • B. Bright Lights
    "Bright Lights" is a popular rock song by American band Matchbox Twenty, known for its emotive lyrics and piano-driven melody.
  • C. Green Light
    "Green Light" is a 1935 American drama film, adapted from Lloyd C. Douglas's novel, for which Samson Raphaelson wrote the screenplay.
  • D. Green Light
    "Green Light" is an upbeat, dance-pop and R&B single by John Legend featuring André 3000, known for its energetic tempo and departure from Legend’s usual soulful ballad style.
  • E. Green Light
    "Green Light" is an upbeat R&B-pop song by Beyoncé, known for its brassy production, assertive lyrics, and energetic vocal performance.
  • 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_69c0084f3bb08190a7720f55f7aa4252 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03588dd8c81909491350140ea340e completed March 22, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1c70754819089081fc440ed841e completed March 23, 2026, 2:13 a.m.
NEDg Description generation batch_69c0a258fa208190a06b457e7856c338 completed March 23, 2026, 2:15 a.m.
NED2 Entity disambiguation (via description) batch_69c0a310d2d08190a8dab95f9eef2815 completed March 23, 2026, 2:18 a.m.
Created at: March 22, 2026, 3:56 p.m.