Triple

T16139379
Position Surface form Disambiguated ID Type / Status
Subject Lucy Whitmore E391611 entity
Predicate createdBy P806 FINISHED
Object George Wing
George Wing is an American screenwriter best known for writing the romantic comedy film "50 First Dates."
 E389180 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 Wing | Statement: [Lucy Whitmore, createdBy, George Wing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: George Wing
Context triple: [Lucy Whitmore, createdBy, George Wing]
  • A. George Wing
    George Wing is an American screenwriter best known for writing the romantic comedy film "50 First Dates."
  • B. David Wingate
    David Wingate is a former American professional basketball player who played in the NBA primarily as a defensive-minded guard and swingman during the late 1980s and 1990s.
  • C. George Wall
    George Wall is a relatively obscure individual whose specific notability is not clearly identifiable from the given information alone.
  • D. Ray Wright
    Ray Wright is a screenwriter known for his work on the film "Case 39" and other genre-focused screenplays.
  • E. David Wingo
    David Wingo is an American film and television composer known for his atmospheric, character-driven scores for independent dramas and series such as "Take Shelter," "Mud," and HBO's "Barry."
  • 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 Wing
Triple: [Lucy Whitmore, createdBy, George Wing]
Generated description
George Wing is an American screenwriter best known for writing the romantic comedy film "50 First Dates."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: George Wing
Target entity description: George Wing is an American screenwriter best known for writing the romantic comedy film "50 First Dates."
  • A. George Wing chosen
    George Wing is an American screenwriter best known for writing the romantic comedy film "50 First Dates."
  • B. David Wingate
    David Wingate is a former American professional basketball player who played in the NBA primarily as a defensive-minded guard and swingman during the late 1980s and 1990s.
  • C. George Wall
    George Wall is a relatively obscure individual whose specific notability is not clearly identifiable from the given information alone.
  • D. Ray Wright
    Ray Wright is a screenwriter known for his work on the film "Case 39" and other genre-focused screenplays.
  • E. David Wingo
    David Wingo is an American film and television composer known for his atmospheric, character-driven scores for independent dramas and series such as "Take Shelter," "Mud," and HBO's "Barry."
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21a06e0988190b5cd62d422d058a2 completed April 17, 2026, 11:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7a59c0481908eb346efaf10a0f6 completed May 10, 2026, 3:12 a.m.
NEDg Description generation batch_69fff8cc75b08190a5824dc35b751f93 completed May 10, 2026, 3:17 a.m.
NED2 Entity disambiguation (via description) batch_69fff98b3d7c8190bb284321d17f58e2 completed May 10, 2026, 3:20 a.m.
Created at: April 10, 2026, 5:01 a.m.