Triple

T2257919
Position Surface form Disambiguated ID Type / Status
Subject All I Want Is You E49769 entity
Predicate hasPart P35 FINISHED
Object Teach Me
Teach Me is a song featured on the album "All I Want Is You" by American singer-songwriter Miguel.
 E249518 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: Teach Me | Statement: [All I Want Is You, hasPart, Teach Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Teach Me
Context triple: [All I Want Is You, hasPart, Teach Me]
  • A. I Learned from the Best
    "I Learned from the Best" is a soulful R&B ballad by Whitney Houston, released as a single from her album "My Love Is Your Love."
  • B. Tell Me No
    "Tell Me No" is a song by American singer Whitney Houston from her 2002 studio album "Just Whitney."
  • C. Why Me
    "Why Me" is a popular Afrobeat song by Nigerian artist D'banj that helped cement his status as a leading figure in contemporary African pop music.
  • D. Why Me
    "Why Me" is a 1973 country-gospel song by Kris Kristofferson that became one of his biggest hits and a classic of reflective, spiritual songwriting.
  • E. They Say
    "They Say" is a song title that has been used by multiple artists across genres, typically exploring themes of external judgment and personal identity.
  • 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: Teach Me
Triple: [All I Want Is You, hasPart, Teach Me]
Generated description
Teach Me is a song featured on the album "All I Want Is You" by American singer-songwriter Miguel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Teach Me
Target entity description: Teach Me is a song featured on the album "All I Want Is You" by American singer-songwriter Miguel.
  • A. I Learned from the Best
    "I Learned from the Best" is a soulful R&B ballad by Whitney Houston, released as a single from her album "My Love Is Your Love."
  • B. Tell Me No
    "Tell Me No" is a song by American singer Whitney Houston from her 2002 studio album "Just Whitney."
  • C. Why Me
    "Why Me" is a popular Afrobeat song by Nigerian artist D'banj that helped cement his status as a leading figure in contemporary African pop music.
  • D. Why Me
    "Why Me" is a 1973 country-gospel song by Kris Kristofferson that became one of his biggest hits and a classic of reflective, spiritual songwriting.
  • E. They Say
    "They Say" is a song title that has been used by multiple artists across genres, typically exploring themes of external judgment and personal identity.
  • 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_69a88aaa9250819095e127d0d77e8a32 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc15839fc8190b17e040c4c765a8c completed March 7, 2026, 6:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71c69f088190a38254a8a3670124 completed March 9, 2026, 7:07 a.m.
NEDg Description generation batch_69ae72353e7c8190bb0ba06362734d81 completed March 9, 2026, 7:09 a.m.
NED2 Entity disambiguation (via description) batch_69ae72a694a8819080ec462c0a9c38ac completed March 9, 2026, 7:11 a.m.
Created at: March 4, 2026, 7:48 p.m.