Triple

T8421052
Position Surface form Disambiguated ID Type / Status
Subject One Wish E198850 entity
Predicate writer P1360 FINISHED
Object LaShawn Daniels E235816 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: LaShawn Daniels | Statement: [One Wish, writer, LaShawn Daniels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LaShawn Daniels
Context triple: [One Wish, writer, LaShawn Daniels]
  • A. LaShawn Daniels chosen
    LaShawn Daniels was an American Grammy-winning songwriter and producer known for crafting major R&B and pop hits for artists like Brandy, Monica, Destiny’s Child, and Whitney Houston.
  • B. Darnell Williams
    Darnell Williams is an American actor best known for his long-running role as Jesse Hubbard on the soap opera "All My Children."
  • C. Akeem Browder
    Akeem Browder is an American activist and advocate for criminal justice reform, known for his work following the wrongful incarceration and tragic death of his younger brother, Kalief Browder.
  • D. Akeem Joffer
    Akeem Joffer is the fictional crown prince of the African nation of Zamunda and main protagonist of the comedy film "Coming to America."
  • E. Haason Reddick
    Haason Reddick is an American professional football linebacker known for his pass-rushing prowess in the NFL.
  • 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_69ca8312d63c8190bf133b676b44a385 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb84ca7b348190abab25e79b05407f completed March 31, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce1d469a148190a6f018f758cba5eb completed April 2, 2026, 7:39 a.m.
Created at: March 30, 2026, 6:06 p.m.