Triple

T20388751
Position Surface form Disambiguated ID Type / Status
Subject Unhook the Stars E498028 entity
Predicate starring P1507 FINISHED
Object Bridgette Wilson 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: Bridgette Wilson | Statement: [Unhook the Stars, starring, Bridgette Wilson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bridgette Wilson
Context triple: [Unhook the Stars, starring, Bridgette Wilson]
  • A. Bridgette Wilson chosen
    Bridgette Wilson is an American actress, singer, and former Miss Teen USA best known for her roles in 1990s films such as "Billy Madison" and "Mortal Kombat."
  • B. Bridget Wayet
    Bridget Wayet was the wife of renowned 18th-century English landscape architect Lancelot "Capability" Brown.
  • C. Melissa Hurley
    Melissa Hurley is an American dancer and choreographer best known for her work in film and television and for being married to actor Patrick Cassidy.
  • D. Nicolette Robinson
    Nicolette Robinson is an American actress and singer known for her work on television and Broadway, including starring in the musical "Waitress."
  • E. Jessyca Wilson
    Jessyca Wilson is a songwriter best known for her work on the track "Save Room."
  • 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_69e0b4a71ebc8190b153a36c738730f4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6790d9e5881908bde7da9e5e541a0 completed April 20, 2026, 7:05 p.m.
Created at: April 16, 2026, 11:28 a.m.