Triple

T4441181
Position Surface form Disambiguated ID Type / Status
Subject Eraser E95773 entity
Predicate starring P1507 FINISHED
Object Vanessa Williams E332373 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: Vanessa Williams | Statement: [Eraser, starring, Vanessa Williams]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vanessa Williams
Context triple: [Eraser, starring, Vanessa Williams]
  • A. Vanessa Williams chosen
    Vanessa Williams is an American singer, actress, and former Miss America known for her successful music career and prominent roles in film, television, and theater.
  • B. Sherie Rene Scott
    Sherie Rene Scott is a Tony-nominated American actress and singer known for her work in numerous Broadway productions and original musical roles.
  • C. LaTavia Roberson
    LaTavia Roberson is an American singer and original member of the R&B girl group Destiny's Child, known for her contributions to the group's early success before pursuing other ventures in music and entertainment.
  • D. Candice Patton
    Candice Patton is an American actress best known for her role as Iris West-Allen in the superhero television series "The Flash."
  • E. Denise Gaines
    Denise Gaines is a central love interest and professional colleague of Sherman Klump in the comedy film "Nutty Professor II: The Klumps."
  • 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_69b3453ea2b48190a26f154b3b8fece5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355ad71588190b1dcad4250472c29 completed March 13, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b61380fca08190bf036a7d82cee0e7 completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:32 p.m.