Triple

T22228585
Position Surface form Disambiguated ID Type / Status
Subject George F. Will E549408 entity
Predicate givenName P17 FINISHED
Object George
George is the given name of George F. Will, a prominent American conservative political commentator and Pulitzer Prize–winning columnist.
 E549408 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: George | Statement: [George F. Will, givenName, George]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: George
Context triple: [George F. Will, givenName, George]
  • A. George
    George is the heroic protagonist of the fantasy film "The Magic Sword," known for embarking on a perilous quest to rescue a princess from an evil sorcerer.
  • B. George
    George is a common English surname of likely Greek and Latin origin, associated with numerous notable historical and contemporary figures.
  • C. George
    George is the given name of George North, 3rd Earl of Guilford, a British peer from the late 18th and early 19th centuries.
  • D. George
    George is the given name of George Winslow, an American child actor known for his distinctive raspy voice in 1950s films.
  • E. George
    George is the given name of George MacDonald Fraser, the Scottish author best known for his Flashman historical adventure novels.
  • 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: George
Triple: [George F. Will, givenName, George]
Generated description
George is the given name of George F. Will, a prominent American conservative political commentator and Pulitzer Prize–winning columnist.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: George
Target entity description: George is the given name of George F. Will, a prominent American conservative political commentator and Pulitzer Prize–winning columnist.
  • A. George chosen
    George is the given name of George F. Will, a prominent American conservative political commentator and Pulitzer Prize–winning columnist.
  • B. George
    George is the given name of George Lakoff, an influential American cognitive linguist and philosopher known for his work on conceptual metaphor and the framing of political discourse.
  • C. George
    George is the given name of the literary critic, essayist, and philosopher George Steiner.
  • D. George
    George is the given name of George W. Norris, a prominent early 20th-century American politician known for his progressive reforms and long service in the U.S. Congress.
  • E. George
    George is the given name of George Lyman Kittredge, a prominent American literary scholar and Shakespearean critic.
  • F. None of above.

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_69e11e403d6481909a94d0aaf157f6ef completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12bf0a03c8190ac4717cce902b2cd completed April 28, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0ab6554b308190832e379b561f3075 completed May 18, 2026, 6:48 a.m.
NEDg Description generation batch_6a0ab78450b0819082cf4e1c22d53e32 completed May 18, 2026, 6:53 a.m.
NED2 Entity disambiguation (via description) batch_6a0ab8024c488190a9645f0ca231ed81 completed May 18, 2026, 6:56 a.m.
Created at: April 16, 2026, 8:37 p.m.