Triple

T14681373
Position Surface form Disambiguated ID Type / Status
Subject Vanessa Marquez E344793 entity
Predicate notableWork P4 FINISHED
Object Crazy Love E1067723 NE FINISHED

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: Crazy Love | Statement: [Vanessa Marquez, notableWork, Crazy Love]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crazy Love
Context triple: [Vanessa Marquez, notableWork, Crazy Love]
  • A. Crazy Love
    Crazy Love is a soulful ballad by Van Morrison, celebrated for its tender lyrics and smooth, romantic melody.
  • B. Crazy Love chosen
    Crazy Love is a documentary film best known for its bizarre and unsettling real-life love story, directed by actor and filmmaker Fisher Stevens.
  • C. Crazy Love, Vol. II
    "Crazy Love, Vol. II" is a track featured on Paul Simon’s acclaimed 1986 album *Graceland*, blending pop, rock, and South African musical influences.
  • D. So Crazy
    "So Crazy" is a song best known as a 2003 R&B hit by Beyoncé featuring Jay-Z from her debut solo album "Dangerously in Love."
  • E. So Crazy
    "So Crazy" is a song by Nigerian artist Davido, featuring American singer Lil Baby, known for its blend of Afrobeats and trap influences.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb5692284819090f775be8e478522 completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde182dab08190aac2ff2db666ee69 completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:28 a.m.