Triple

T3524065
Position Surface form Disambiguated ID Type / Status
Subject Field E74495 entity
Predicate hasNotableBearer P458 FINISHED
Object George Field (actor)
George Field was an American silent film and stage actor active in the early 20th century.
E364812 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 Field (actor) | Statement: [Field, hasNotableBearer, George Field (actor)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Field (actor)
Context triple: [Field, hasNotableBearer, George Field (actor)]
  • A. Joseph Fields
    Joseph Fields was an American playwright, screenwriter, and producer known for his work on Broadway and in Hollywood during the mid-20th century.
  • B. Randolph Fields
    Randolph Fields was a British-American lawyer and entrepreneur best known for co-founding the airline that became Virgin Atlantic Airways.
  • C. John Gibbon
    John Gibbon was a 19th-century United States Army officer and Civil War general who later played a key role in the Indian Wars, including campaigns against the Nez Perce.
  • D. John Gavin
    John Gavin was an American film actor and diplomat best known for his leading roles in classic films of the late 1950s and early 1960s, including "Psycho" and "Imitation of Life."
  • E. Robert Parrish
    Robert Parrish was an American film editor and director, as well as a former child actor, known for his work on several classic Hollywood films.
  • 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 Field (actor)
Triple: [Field, hasNotableBearer, George Field (actor)]
Generated description
George Field was an American silent film and stage actor active in the early 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: George Field (actor)
Target entity description: George Field was an American silent film and stage actor active in the early 20th century.
  • A. Joseph Fields
    Joseph Fields was an American playwright, screenwriter, and producer known for his work on Broadway and in Hollywood during the mid-20th century.
  • B. Randolph Fields
    Randolph Fields was a British-American lawyer and entrepreneur best known for co-founding the airline that became Virgin Atlantic Airways.
  • C. John Gibbon
    John Gibbon was a 19th-century United States Army officer and Civil War general who later played a key role in the Indian Wars, including campaigns against the Nez Perce.
  • D. John Gavin
    John Gavin was an American film actor and diplomat best known for his leading roles in classic films of the late 1950s and early 1960s, including "Psycho" and "Imitation of Life."
  • E. Robert Parrish
    Robert Parrish was an American film editor and director, as well as a former child actor, known for his work on several classic Hollywood films.
  • 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_69ad85d0c5488190a3d8e02ebd01a1aa completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc68b15881909b407486946ec3c5 completed March 8, 2026, 6:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e8ae87481909eabd5847fbfa617 completed March 13, 2026, 3:03 a.m.
NEDg Description generation batch_69b37eecfe0881909265b48c624be61f completed March 13, 2026, 3:05 a.m.
NED2 Entity disambiguation (via description) batch_69b37f5574b08190bdde80b47f2cb99c completed March 13, 2026, 3:07 a.m.
Created at: March 8, 2026, 3:19 p.m.