Triple

T15798484
Position Surface form Disambiguated ID Type / Status
Subject Tiger Trap E383040 entity
Predicate performerOf P1363 FINISHED
Object You and Me
"You and Me" is an indie pop song by the American twee pop band Tiger Trap, known for its jangly guitars and heartfelt, lo-fi charm.
E1177095 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: You and Me | Statement: [Tiger Trap, performerOf, You and Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: You and Me
Context triple: [Tiger Trap, performerOf, You and Me]
  • A. You and Me
    "You and Me" is a song by La Toya Jackson from her 1988 pop and dance-oriented album "You're Gonna Get Rocked!"
  • B. You and Me
    "You and Me" is a popular romantic rock ballad by the American band Lifehouse, known for its heartfelt lyrics and widespread radio success in the mid-2000s.
  • C. You and Me
    "You and Me" is a song featured on the soundtrack of the farming simulation video game Harvest Moon.
  • D. You and Me
    "You and Me" is a Soviet drama film by acclaimed director Larisa Shepitko, exploring complex human relationships and moral choices.
  • E. You and Me
    "You and Me" is a component work or project within the interdisciplinary ArtScience initiative, reflecting its blend of artistic creativity and scientific inquiry.
  • 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: You and Me
Triple: [Tiger Trap, performerOf, You and Me]
Generated description
"You and Me" is an indie pop song by the American twee pop band Tiger Trap, known for its jangly guitars and heartfelt, lo-fi charm.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: You and Me
Target entity description: "You and Me" is an indie pop song by the American twee pop band Tiger Trap, known for its jangly guitars and heartfelt, lo-fi charm.
  • A. You and Me
    "You and Me" is a popular romantic rock ballad by the American band Lifehouse, known for its heartfelt lyrics and widespread radio success in the mid-2000s.
  • B. You and Me
    "You and Me" is a song featured on the soundtrack of the farming simulation video game Harvest Moon.
  • C. You and Me
    "You and Me" is a Soviet drama film by acclaimed director Larisa Shepitko, exploring complex human relationships and moral choices.
  • D. You and Me
    "You and Me" is a component work or project within the interdisciplinary ArtScience initiative, reflecting its blend of artistic creativity and scientific inquiry.
  • E. You and Me
    "You and Me" is a song by La Toya Jackson from her 1988 pop and dance-oriented album "You're Gonna Get Rocked!"
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b4e00d348190bc98917c4098ec2f completed April 16, 2026, 10:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff90b08ab48190892c700f5eb261d8 completed May 9, 2026, 7:53 p.m.
NEDg Description generation batch_69ff936cbbc8819097958ac02673a474 completed May 9, 2026, 8:05 p.m.
NED2 Entity disambiguation (via description) batch_69ff93ed15ec8190b9361f7ad4c7e447 completed May 9, 2026, 8:07 p.m.
Created at: April 10, 2026, 4:48 a.m.