Triple

T2009775
Position Surface form Disambiguated ID Type / Status
Subject Ram E43663 entity
Predicate hasTrack P3284 FINISHED
Object 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.
E225555 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 People | Statement: [Ram, hasTrack, Too Many People]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Too Many People
Context triple: [Ram, hasTrack, Too Many People]
  • A. All Over the Town
    All Over the Town is a British film featuring actress Sarah Churchill in a prominent role.
  • B. Meet Me on the Roof
    "Meet Me on the Roof" is a song by American rock band Green Day from their 2020 album "Father of All Motherfuckers."
  • C. Out in the Street
    "Out in the Street" is a rock song by Bruce Springsteen from his 1980 album *The River*, known for its upbeat sound and themes of working-class freedom and camaraderie.
  • D. The Crowds
    The Crowds is an English title for the 39th chapter of the Qur’an, which emphasizes sincere worship of God alone and contrasts the fates of believers and disbelievers.
  • E. 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.
  • 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 People
Triple: [Ram, hasTrack, Too Many People]
Generated description
"Too Many People" is a song by Paul McCartney from his 1971 album *Ram*, noted for its sharp, veiled criticisms of John Lennon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Too Many People
Target entity description: "Too Many People" is a song by Paul McCartney from his 1971 album *Ram*, noted for its sharp, veiled criticisms of John Lennon.
  • A. All Over the Town
    All Over the Town is a British film featuring actress Sarah Churchill in a prominent role.
  • B. Meet Me on the Roof
    "Meet Me on the Roof" is a song by American rock band Green Day from their 2020 album "Father of All Motherfuckers."
  • C. Out in the Street
    "Out in the Street" is a rock song by Bruce Springsteen from his 1980 album *The River*, known for its upbeat sound and themes of working-class freedom and camaraderie.
  • D. The Crowds
    The Crowds is an English title for the 39th chapter of the Qur’an, which emphasizes sincere worship of God alone and contrasts the fates of believers and disbelievers.
  • E. 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.
  • 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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8afe6f8819092679c86d1f2d041 completed March 7, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0ae5f0748190aecee47884c61ecc completed March 8, 2026, 11:48 p.m.
NEDg Description generation batch_69ae0bab9d7c8190acde67a6301e18ec completed March 8, 2026, 11:52 p.m.
NED2 Entity disambiguation (via description) batch_69ae0c2fe1a88190867b1d533d58b7fc completed March 8, 2026, 11:54 p.m.
Created at: March 4, 2026, 7:37 p.m.