Triple

T14853798
Position Surface form Disambiguated ID Type / Status
Subject Shades of Blue E349298 entity
Predicate starring P1507 FINISHED
Object Hampton Fluker
Hampton Fluker is an American actor best known for his television work, including a prominent role in the crime drama series "Shades of Blue."
 E1124064 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: Hampton Fluker | Statement: [Shades of Blue, starring, Hampton Fluker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hampton Fluker
Context triple: [Shades of Blue, starring, Hampton Fluker]
  • A. Rodman Flender
    Rodman Flender is an American film and television director, producer, and occasional actor known for work on projects such as "Idle Hands," "The Office," and various documentaries.
  • B. Mark Hampton
    Mark Hampton is a British hairstylist and groomer known for his work in fashion and entertainment and for being married to actress Christina Ricci.
  • C. Rufus Hannassey
    Rufus Hannassey is a fierce, hot-tempered rancher’s son and principal antagonist in the 1958 Western film "The Big Country."
  • D. Franklin Keeler
    Franklin Keeler was the founder of the Times Union newspaper.
  • E. Gilmor Brown
    Gilmor Brown was an American theater director and producer best known as the visionary founder and longtime guiding force of the Pasadena Playhouse.
  • 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: Hampton Fluker
Triple: [Shades of Blue, starring, Hampton Fluker]
Generated description
Hampton Fluker is an American actor best known for his television work, including a prominent role in the crime drama series "Shades of Blue."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hampton Fluker
Target entity description: Hampton Fluker is an American actor best known for his television work, including a prominent role in the crime drama series "Shades of Blue."
  • A. Rodman Flender
    Rodman Flender is an American film and television director, producer, and occasional actor known for work on projects such as "Idle Hands," "The Office," and various documentaries.
  • B. Mark Hampton
    Mark Hampton is a British hairstylist and groomer known for his work in fashion and entertainment and for being married to actress Christina Ricci.
  • C. Rufus Hannassey
    Rufus Hannassey is a fierce, hot-tempered rancher’s son and principal antagonist in the 1958 Western film "The Big Country."
  • D. Franklin Keeler
    Franklin Keeler was the founder of the Times Union newspaper.
  • E. Gilmor Brown
    Gilmor Brown was an American theater director and producer best known as the visionary founder and longtime guiding force of the Pasadena Playhouse.
  • 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded44318f0819080b6c599f2d3474f completed April 14, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6506ace48190819504b93f575660 completed May 8, 2026, 10:34 p.m.
NEDg Description generation batch_69fe66a5f3a88190827c6c9247323153 completed May 8, 2026, 10:41 p.m.
NED2 Entity disambiguation (via description) batch_69fe6736ff34819098524e4401a414aa completed May 8, 2026, 10:44 p.m.
Created at: April 10, 2026, 1:54 a.m.