Triple

T15495115
Position Surface form Disambiguated ID Type / Status
Subject Bones E378796 entity
Predicate portrayedBy P1507 FINISHED
Object Tamara Taylor
Tamara Taylor is a Canadian actress best known for her role as Dr. Camille Saroyan on the television series "Bones."
E1188208 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: Tamara Taylor | Statement: [Bones, portrayedBy, Tamara Taylor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tamara Taylor
Context triple: [Bones, portrayedBy, Tamara Taylor]
  • A. Tamara James
    Tamara James is an American politician and former professional basketball player who serves as the mayor of Dania Beach, Florida.
  • B. Tamara Greer
    Tamara Greer is a person notable enough to be recognized as a significant bearer of the surname Greer.
  • C. Tamar Thomas
    Tamar Thomas is a film producer known for her work on the critically acclaimed 2021 drama "Belfast," directed by Kenneth Branagh.
  • D. Tamara Malcolm
    Tamara Malcolm is a theatre practitioner best known for co-founding the Chipping Norton Theatre, a prominent regional arts venue in Oxfordshire, England.
  • E. Kelly Taylor
    Kelly Taylor is a central fictional character from the television series "Beverly Hills, 90210," known for her complex personal struggles, evolving relationships, and prominent role in the show's depiction of affluent teen life.
  • 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: Tamara Taylor
Triple: [Bones, portrayedBy, Tamara Taylor]
Generated description
Tamara Taylor is a Canadian actress best known for her role as Dr. Camille Saroyan on the television series "Bones."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tamara Taylor
Target entity description: Tamara Taylor is a Canadian actress best known for her role as Dr. Camille Saroyan on the television series "Bones."
  • A. Tamara James
    Tamara James is an American politician and former professional basketball player who serves as the mayor of Dania Beach, Florida.
  • B. Tamara Greer
    Tamara Greer is a person notable enough to be recognized as a significant bearer of the surname Greer.
  • C. Tamar Thomas
    Tamar Thomas is a film producer known for her work on the critically acclaimed 2021 drama "Belfast," directed by Kenneth Branagh.
  • D. Tamara Malcolm
    Tamara Malcolm is a theatre practitioner best known for co-founding the Chipping Norton Theatre, a prominent regional arts venue in Oxfordshire, England.
  • E. Kelly Taylor
    Kelly Taylor is a central fictional character from the television series "Beverly Hills, 90210," known for her complex personal struggles, evolving relationships, and prominent role in the show's depiction of affluent teen life.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03faecd60819091eeaa56c9c8f67d completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3b205dc81908c4194a931d94074 completed May 9, 2026, 11:30 p.m.
NEDg Description generation batch_69ffc4ba0a988190b1d93ce6479bac88 completed May 9, 2026, 11:35 p.m.
NED2 Entity disambiguation (via description) batch_69ffc5902904819097a2c5efbde55882 completed May 9, 2026, 11:38 p.m.
Created at: April 10, 2026, 3:51 a.m.