Triple

T22079505
Position Surface form Disambiguated ID Type / Status
Subject Megalyn Echikunwoke E545610 entity
Predicate portrayed P1668 FINISHED
Object Tara Price
Tara Price is a fictional character from the television series "CSI: Miami," known as a medical examiner introduced in later seasons.
 E1516982 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: Tara Price | Statement: [Megalyn Echikunwoke, portrayed, Tara Price]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tara Price
Context triple: [Megalyn Echikunwoke, portrayed, Tara Price]
  • A. Lindsay Price
    Lindsay Price is an American television actress best known for her roles on series such as "Beverly Hills, 90210," "Lipstick Jungle," and "Eastwick."
  • B. Sara Price
    Sara Price is a fictional character played by Natalie Dormer in the 2016 supernatural horror film "The Forest."
  • C. Kathryn Price
    Kathryn Price is a screenwriter best known for co-writing the family sports comedy film "The Game Plan."
  • D. Megan Price
    Megan Price is a person known for being a close friend of Annie Walker.
  • E. Tara Brendle
    Tara Brendle is an American mathematician known for her work in geometric group theory and low-dimensional topology, particularly involving mapping class groups.
  • 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: Tara Price
Triple: [Megalyn Echikunwoke, portrayed, Tara Price]
Generated description
Tara Price is a fictional character from the television series "CSI: Miami," known as a medical examiner introduced in later seasons.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tara Price
Target entity description: Tara Price is a fictional character from the television series "CSI: Miami," known as a medical examiner introduced in later seasons.
  • A. Lindsay Price
    Lindsay Price is an American television actress best known for her roles on series such as "Beverly Hills, 90210," "Lipstick Jungle," and "Eastwick."
  • B. Sara Price
    Sara Price is a fictional character played by Natalie Dormer in the 2016 supernatural horror film "The Forest."
  • C. Kathryn Price
    Kathryn Price is a screenwriter best known for co-writing the family sports comedy film "The Game Plan."
  • D. Megan Price
    Megan Price is a person known for being a close friend of Annie Walker.
  • E. Tara Brendle
    Tara Brendle is an American mathematician known for her work in geometric group theory and low-dimensional topology, particularly involving mapping class groups.
  • 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_69e11e3523488190badd54b5d580c00d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128b56d5c8190aa825fe02e3ad917 completed April 28, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a80b980408190a35b2816b17cc322 completed May 18, 2026, 3 a.m.
NEDg Description generation batch_6a0a81f51dbc8190a49506d7536d165b completed May 18, 2026, 3:05 a.m.
NED2 Entity disambiguation (via description) batch_6a0a82c10ce48190806498221cb55e7b completed May 18, 2026, 3:08 a.m.
Created at: April 16, 2026, 8:28 p.m.