Triple

T5136390
Position Surface form Disambiguated ID Type / Status
Subject Carry the Banner E115832 entity
Predicate recordLabel P1500 FINISHED
Object Too Many Records
Too Many Records is an independent music label known for releasing underground and alternative artists.
E495930 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: Too Many Records | Statement: [Carry the Banner, recordLabel, Too Many Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Too Many Records
Context triple: [Carry the Banner, recordLabel, Too Many Records]
  • A. Too Much, Too Soon
    Too Much, Too Soon is a 1958 biographical drama film about the troubled life of actress Diana Barrymore, adapted from her memoir of the same name.
  • B. Too Many People
    "Too Many People" is a song by Paul McCartney from his 1971 album *Ram*, noted for its sharp, veiled criticisms of John Lennon.
  • C. Never Too Much
    "Never Too Much" is a 1981 R&B and soul classic by Luther Vandross that became his signature hit and a defining song of contemporary R&B.
  • D. Too Many Birds
    "Too Many Birds" is a contemplative indie folk song by Bill Callahan, noted for its sparse arrangement and poetic, introspective lyrics.
  • E. Too Many Parents
    Too Many Parents is a 1936 American comedy film featuring Frances Farmer in one of her early notable screen roles.
  • 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: Too Many Records
Triple: [Carry the Banner, recordLabel, Too Many Records]
Generated description
Too Many Records is an independent music label known for releasing underground and alternative artists.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Too Many Records
Target entity description: Too Many Records is an independent music label known for releasing underground and alternative artists.
  • A. Too Much, Too Soon
    Too Much, Too Soon is a 1958 biographical drama film about the troubled life of actress Diana Barrymore, adapted from her memoir of the same name.
  • B. Too Many People
    "Too Many People" is a song by Paul McCartney from his 1971 album *Ram*, noted for its sharp, veiled criticisms of John Lennon.
  • C. Never Too Much
    "Never Too Much" is a 1981 R&B and soul classic by Luther Vandross that became his signature hit and a defining song of contemporary R&B.
  • D. Too Many Birds
    "Too Many Birds" is a contemplative indie folk song by Bill Callahan, noted for its sparse arrangement and poetic, introspective lyrics.
  • E. Too Many Parents
    Too Many Parents is a 1936 American comedy film featuring Frances Farmer in one of her early notable screen roles.
  • 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_69bd44459a988190a772a5c2ec6a1965 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd785069108190bf9cfdc7d962d43f completed March 20, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec4d04b3c8190bfac5986e1bb89a5 completed March 21, 2026, 4:18 p.m.
NEDg Description generation batch_69bec562d0508190851b5a3307e9405b completed March 21, 2026, 4:20 p.m.
NED2 Entity disambiguation (via description) batch_69bec6478b848190bc09d7f6485681b4 completed March 21, 2026, 4:24 p.m.
Created at: March 20, 2026, 1:43 p.m.