Triple

T8162235
Position Surface form Disambiguated ID Type / Status
Subject Brendan Fraser E190601 entity
Predicate spouse P13 FINISHED
Object Afton Smith
Afton Smith is an American actress and author best known for her 1990s film roles and her former marriage to actor Brendan Fraser.
E730223 NE FINISHED

How this triple was built (4 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: Afton Smith | Statement: [Brendan Fraser, spouse, Afton Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Afton Smith
Context triple: [Brendan Fraser, spouse, Afton Smith]
  • A. Shanté Smith
    Shanté Smith is the savvy, self-assured protagonist of the romantic comedy film "Two Can Play That Game," known for her strategic approach to relationships and dating.
  • B. Nina Smith
    Nina Smith is known as one of the children of American rapper and actor LL Cool J.
  • C. Tiffany Thompson
    Tiffany Thompson is the daughter of John Thompson.
  • D. Malissa Smith
    Malissa Smith is a member of the Smith family and a sibling of Joseph Smith, the founder of the Latter Day Saint movement.
  • E. Tasha McCauley
    Tasha McCauley is an American robotics engineer and tech entrepreneur known for co-founding the robotics company Fellow Robots and for her work at the intersection of technology and innovation.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Afton Smith
Triple: [Brendan Fraser, spouse, Afton Smith]
Generated description
Afton Smith is an American actress and author best known for her 1990s film roles and her former marriage to actor Brendan Fraser.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Afton Smith
Target entity description: Afton Smith is an American actress and author best known for her 1990s film roles and her former marriage to actor Brendan Fraser.
  • A. Shanté Smith
    Shanté Smith is the savvy, self-assured protagonist of the romantic comedy film "Two Can Play That Game," known for her strategic approach to relationships and dating.
  • B. Nina Smith
    Nina Smith is known as one of the children of American rapper and actor LL Cool J.
  • C. Tiffany Thompson
    Tiffany Thompson is the daughter of John Thompson.
  • D. Malissa Smith
    Malissa Smith is a member of the Smith family and a sibling of Joseph Smith, the founder of the Latter Day Saint movement.
  • E. Tasha McCauley
    Tasha McCauley is an American robotics engineer and tech entrepreneur known for co-founding the robotics company Fellow Robots and for her work at the intersection of technology and innovation.
  • F. None of above. chosen

Provenance (5 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_69ca82c0ef14819083713f4473dd847c completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4556b45c819089eb15ad027b036a completed March 31, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde71b7688819096b2d30a37a8a00b completed April 2, 2026, 3:48 a.m.
NEDg Description generation batch_69cdebf81adc81908feb7b19b5b151c3 completed April 2, 2026, 4:09 a.m.
NED2 Entity disambiguation (via description) batch_69cdecc83e408190b9ba1dc8acf5081b completed April 2, 2026, 4:12 a.m.
Created at: March 30, 2026, 5:38 p.m.