Triple

T9154503
Position Surface form Disambiguated ID Type / Status
Subject The Good Wife E219674 entity
Predicate creator P184 FINISHED
Object Robert King
Robert King is an American television writer and producer best known for co-creating the acclaimed legal and political drama series "The Good Wife."
E781254 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: Robert King | Statement: [The Good Wife, creator, Robert King]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert King
Context triple: [The Good Wife, creator, Robert King]
  • A. John King
    John King is an artist and notable graduate of Hornsey College of Art, recognized for his contributions to the visual arts.
  • B. John King
    John King was an American statesman who represented South Carolina as a delegate in the Continental Congress during the Revolutionary era.
  • C. Mark King
    Mark King is a musician best known as the lead vocalist and bassist of the British jazz-funk band Level 42.
  • D. Ed King
    Ed King was an American rock guitarist and songwriter best known as a member of Lynyrd Skynyrd, co-writing hits like "Sweet Home Alabama."
  • E. Charles King
    Charles King was an American academic and politician who served as the ninth president of Columbia College (now Columbia University) in the mid-19th 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: Robert King
Triple: [The Good Wife, creator, Robert King]
Generated description
Robert King is an American television writer and producer best known for co-creating the acclaimed legal and political drama series "The Good Wife."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Robert King
Target entity description: Robert King is an American television writer and producer best known for co-creating the acclaimed legal and political drama series "The Good Wife."
  • A. John King
    John King is an artist and notable graduate of Hornsey College of Art, recognized for his contributions to the visual arts.
  • B. John King
    John King was an American statesman who represented South Carolina as a delegate in the Continental Congress during the Revolutionary era.
  • C. Mark King
    Mark King is a musician best known as the lead vocalist and bassist of the British jazz-funk band Level 42.
  • D. Ed King
    Ed King was an American rock guitarist and songwriter best known as a member of Lynyrd Skynyrd, co-writing hits like "Sweet Home Alabama."
  • E. Charles King
    Charles King was an American academic and politician who served as the ninth president of Columbia College (now Columbia University) in the mid-19th 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_69ca83e25418819093c6503deeaf30de completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca96f87ac8190b2fc6d2b2834c1b6 completed April 1, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0484e580c8190944ad76f6ef0be9d completed April 3, 2026, 11:07 p.m.
NEDg Description generation batch_69d0496672a881909c1ac91a7ec1a2a1 completed April 3, 2026, 11:12 p.m.
NED2 Entity disambiguation (via description) batch_69d04a35451881909dfe6795b743b026 completed April 3, 2026, 11:16 p.m.
Created at: March 30, 2026, 7:20 p.m.