Triple

T14413169
Position Surface form Disambiguated ID Type / Status
Subject 12 Rounds E357381 entity
Predicate starring P1507 FINISHED
Object Taylor Cole
Taylor Cole is an American actress and former fashion model known for her roles in television series like "The Event" and numerous Hallmark Channel movies, as well as in action films.
E1097633 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: Taylor Cole | Statement: [12 Rounds, starring, Taylor Cole]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taylor Cole
Context triple: [12 Rounds, starring, Taylor Cole]
  • A. Taylor Nichols
    Taylor Nichols is an American actor known for his roles in independent films and ensemble dramas, including the finance thriller "Boiler Room."
  • B. Kate Healey
    Kate Healey is a notable individual recognized as a prominent bearer of the Healey surname.
  • C. June Ellis
    June Ellis is an actress known for her role in the film "The Midnight Sun."
  • D. Britt McKillip
    Britt McKillip is a Canadian actress and voice actress known for her roles in animation and television, including voicing characters in popular children’s series.
  • E. Caroline Rue
    Caroline Rue is an American musician best known as the original drummer of the alternative rock band Hole.
  • 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: Taylor Cole
Triple: [12 Rounds, starring, Taylor Cole]
Generated description
Taylor Cole is an American actress and former fashion model known for her roles in television series like "The Event" and numerous Hallmark Channel movies, as well as in action films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Taylor Cole
Target entity description: Taylor Cole is an American actress and former fashion model known for her roles in television series like "The Event" and numerous Hallmark Channel movies, as well as in action films.
  • A. Taylor Nichols
    Taylor Nichols is an American actor known for his roles in independent films and ensemble dramas, including the finance thriller "Boiler Room."
  • B. Kate Healey
    Kate Healey is a notable individual recognized as a prominent bearer of the Healey surname.
  • C. June Ellis
    June Ellis is an actress known for her role in the film "The Midnight Sun."
  • D. Britt McKillip
    Britt McKillip is a Canadian actress and voice actress known for her roles in animation and television, including voicing characters in popular children’s series.
  • E. Caroline Rue
    Caroline Rue is an American musician best known as the original drummer of the alternative rock band Hole.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90cb3c708190822f5506ebf7ee9d completed April 14, 2026, 7:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd552858208190ba1550e7c1176a2a completed May 8, 2026, 3:14 a.m.
NEDg Description generation batch_69fd5671e4688190ab1b7a7ed6c0cfb8 completed May 8, 2026, 3:20 a.m.
NED2 Entity disambiguation (via description) batch_69fd57710f648190a1344ac1363acce1 completed May 8, 2026, 3:24 a.m.
Created at: April 10, 2026, 1:17 a.m.