Triple

T16679492
Position Surface form Disambiguated ID Type / Status
Subject Cause and Effect E405301 entity
Predicate hasPart P35 FINISHED
Object Love Too Much
Love Too Much is a song by British singer-songwriter Keane from their 2019 album "Cause and Effect."
E1228177 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: Love Too Much | Statement: [Cause and Effect, hasPart, Love Too Much]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Love Too Much
Context triple: [Cause and Effect, hasPart, Love Too Much]
  • A. Love You Too Much
    "Love You Too Much" is a song by the American rock band Painted.
  • B. I Love You Too Much
    "I Love You Too Much" is a song by Stevie Wonder featured on his 1985 album *In Square Circle*.
  • 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 Much
    "Too Much" is a 1957 rock and roll song by Elvis Presley that became one of his early chart-topping hits.
  • E. Too Much
    "Too Much" is a reflective, emotionally charged song by Canadian rapper Drake that appears on his 2013 album *Nothing Was the Same*.
  • 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: Love Too Much
Triple: [Cause and Effect, hasPart, Love Too Much]
Generated description
Love Too Much is a song by British singer-songwriter Keane from their 2019 album "Cause and Effect."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Love Too Much
Target entity description: Love Too Much is a song by British singer-songwriter Keane from their 2019 album "Cause and Effect."
  • A. Love You Too Much
    "Love You Too Much" is a song by the American rock band Painted.
  • B. I Love You Too Much
    "I Love You Too Much" is a song by Stevie Wonder featured on his 1985 album *In Square Circle*.
  • 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 Much
    "Too Much" is a reflective, emotionally charged song by Canadian rapper Drake that appears on his 2013 album *Nothing Was the Same*.
  • E. Too Much
    "Too Much" is a 1957 rock and roll song by Elvis Presley that became one of his early chart-topping hits.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37d6e74ec81909ea95c3e4b0113ab completed April 18, 2026, 12:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a3e2ddc8190a59108cdf001dac2 completed May 10, 2026, 1:38 p.m.
NEDg Description generation batch_6a008b600e5c819084795fee911b0716 completed May 10, 2026, 1:42 p.m.
NED2 Entity disambiguation (via description) batch_6a008bee78248190b920d780bcbd3032 completed May 10, 2026, 1:45 p.m.
Created at: April 10, 2026, 5:19 a.m.