Triple

T15122235
Position Surface form Disambiguated ID Type / Status
Subject Justice E361196 entity
Predicate includesTrack P3284 FINISHED
Object 2 Much
"2 Much" is a song by the French electronic music duo Justice.
 E1137771 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: 2 Much | Statement: [Justice, includesTrack, 2 Much]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 2 Much
Context triple: [Justice, includesTrack, 2 Much]
  • A. No, Not Much
    "No, Not Much" is a popular 1950s traditional pop song best known for its hit recording by the Canadian vocal group The Four Lads.
  • B. Too Much of Nothing
    "Too Much of Nothing" is a Bob Dylan song from his 1967 Basement Tapes sessions, known for its enigmatic lyrics and rootsy, informal sound that later appeared on the Band’s 1975 album *The Basement Tapes*.
  • C. So Much 2 Say
    So Much 2 Say is a Grammy-winning a cappella gospel and jazz album by the vocal group Take 6, noted for its intricate harmonies and innovative vocal arrangements.
  • D. Greater Than One
    Greater Than One is a neo-soul/R&B studio album by American singer Dwele, showcasing his smooth vocals and jazz-influenced production.
  • E. Take Two
    "Take Two" is an American comedy-drama television series about a former actress who teams up with a private investigator to solve crimes.
  • 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: 2 Much
Triple: [Justice, includesTrack, 2 Much]
Generated description
"2 Much" is a song by the French electronic music duo Justice.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 2 Much
Target entity description: "2 Much" is a song by the French electronic music duo Justice.
  • A. No, Not Much
    "No, Not Much" is a popular 1950s traditional pop song best known for its hit recording by the Canadian vocal group The Four Lads.
  • B. Too Much of Nothing
    "Too Much of Nothing" is a Bob Dylan song from his 1967 Basement Tapes sessions, known for its enigmatic lyrics and rootsy, informal sound that later appeared on the Band’s 1975 album *The Basement Tapes*.
  • C. So Much 2 Say
    So Much 2 Say is a Grammy-winning a cappella gospel and jazz album by the vocal group Take 6, noted for its intricate harmonies and innovative vocal arrangements.
  • D. Greater Than One
    Greater Than One is a neo-soul/R&B studio album by American singer Dwele, showcasing his smooth vocals and jazz-influenced production.
  • E. Take Two
    "Take Two" is an American comedy-drama television series about a former actress who teams up with a private investigator to solve crimes.
  • 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0059f69a881909929a037a0eef702 completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7f4abd08190b47c9daff2921919 completed May 9, 2026, 4:28 a.m.
NEDg Description generation batch_69feb8bb774481908272929358817440 completed May 9, 2026, 4:31 a.m.
NED2 Entity disambiguation (via description) batch_69feb9384b4c81909fe80dec3abc1659 completed May 9, 2026, 4:34 a.m.
Created at: April 10, 2026, 3:06 a.m.