Triple

T10262060
Position Surface form Disambiguated ID Type / Status
Subject Video Phone E240622 entity
Predicate writer P1360 FINISHED
Object Rico Love E210658 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: Rico Love | Statement: [Video Phone, writer, Rico Love]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rico Love
Context triple: [Video Phone, writer, Rico Love]
  • A. Rico Love chosen
    Rico Love is an American songwriter and record producer known for crafting R&B and hip-hop hits for major artists such as Usher, Beyoncé, and Nelly.
  • B. Reggie Love
    Reggie Love is a determined and compassionate lawyer who becomes the young protagonist’s protector and advocate in the legal thriller film "The Client."
  • C. Troy Winbush
    Troy Winbush is an American actor known for his supporting roles in film and television, including appearances in dramas, comedies, and procedural series.
  • D. Erick Sermon
    Erick Sermon is an American rapper and record producer best known as one half of the influential hip hop duo EPMD and for his extensive work shaping the sound of 1990s East Coast rap.
  • E. Marques Houston
    Marques Houston is an American R&B singer, songwriter, and actor best known as a member of the group Immature/IMx and for his roles in television and film.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d25c8dec8190af9160d9338ffc9c completed April 7, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71cdcdf8c81909f5a2be1c3aa03a0 completed April 9, 2026, 3:28 a.m.
Created at: April 6, 2026, 11:32 a.m.