Triple

T17623766
Position Surface form Disambiguated ID Type / Status
Subject Comin' from Where I'm From E429778 entity
Predicate hasPart P35 FINISHED
Object My First Love NE NERFINISHED

How this triple was built (2 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: My First Love | Statement: [Comin' from Where I'm From, hasPart, My First Love]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: My First Love
Context triple: [Comin' from Where I'm From, hasPart, My First Love]
  • A. My First Love chosen
    "My First Love" is a popular R&B ballad by Avant, known for its smooth vocals and romantic, nostalgic theme.
  • B. First Love
    "First Love" is a short story by Eudora Welty, included in her collection *The Wide Net and Other Stories*, that reflects her characteristic Southern setting and nuanced exploration of human relationships.
  • C. First Love Song
    "First Love Song" is a country track by Luke Bryan featured on his debut studio album "I'll Stay Me."
  • D. My Love
    "My Love" is an R&B song by Whitney Houston from her 2002 studio album *Just Whitney*.
  • E. My Love
    "My Love" is a soft rock ballad by the British-American band Wings, led by Paul McCartney, known for its lush orchestration and heartfelt lyrics.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46dba664c81909dcaf44779db5565 completed April 19, 2026, 5:52 a.m.
Created at: April 10, 2026, 5:52 a.m.