Triple

T19663682
Position Surface form Disambiguated ID Type / Status
Subject Couples E472146 entity
Predicate hasCharacter P2308 FINISHED
Object Ken Whitman
Ken Whitman is a character from the television series "Couples," depicted as one of the central figures navigating the complexities of modern relationships.
E1388243 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: Ken Whitman | Statement: [Couples, hasCharacter, Ken Whitman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ken Whitman
Context triple: [Couples, hasCharacter, Ken Whitman]
  • A. John Whitesell
    John Whitesell is an American television and film director and producer known for his work on various TV series and feature comedies.
  • B. Jim Whitaker
    Jim Whitaker is an American film producer known for his work on major studio projects, including Disney live-action features.
  • C. Michael Waddell
    Michael Waddell is a sports executive best known for serving as president of the Orlando Apollos in the Alliance of American Football.
  • D. Edward E. Whitacre Jr.
    Edward E. Whitacre Jr. is an American businessman best known for serving as chairman and CEO of AT&T and later as chairman of General Motors.
  • E. Don Whillans
    Don Whillans was a renowned British mountaineer and rock climber known for his bold ascents in the Alps and Himalayas during the mid-20th century.
  • 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: Ken Whitman
Triple: [Couples, hasCharacter, Ken Whitman]
Generated description
Ken Whitman is a character from the television series "Couples," depicted as one of the central figures navigating the complexities of modern relationships.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ken Whitman
Target entity description: Ken Whitman is a character from the television series "Couples," depicted as one of the central figures navigating the complexities of modern relationships.
  • A. John Whitesell
    John Whitesell is an American television and film director and producer known for his work on various TV series and feature comedies.
  • B. Jim Whitaker
    Jim Whitaker is an American film producer known for his work on major studio projects, including Disney live-action features.
  • C. Michael Waddell
    Michael Waddell is a sports executive best known for serving as president of the Orlando Apollos in the Alliance of American Football.
  • D. Edward E. Whitacre Jr.
    Edward E. Whitacre Jr. is an American businessman best known for serving as chairman and CEO of AT&T and later as chairman of General Motors.
  • E. Don Whillans
    Don Whillans was a renowned British mountaineer and rock climber known for his bold ascents in the Alps and Himalayas during the mid-20th century.
  • 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6416671fc81908e25b0477234fa0f completed April 20, 2026, 3:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a077ef7a9ec8190a86623fbd0c9fe00 completed May 15, 2026, 8:15 p.m.
NEDg Description generation batch_6a07817a4748819081bbeff65e18d533 completed May 15, 2026, 8:26 p.m.
NED2 Entity disambiguation (via description) batch_6a0782a6f66881909f88781f8f6c5b8f completed May 15, 2026, 8:31 p.m.
Created at: April 10, 2026, 1:45 p.m.