Triple

T12498959
Position Surface form Disambiguated ID Type / Status
Subject Grace Van Owen E298765 entity
Predicate hasNameFamilyName P18 FINISHED
Object Van Owen
Van Owen is the surname of Grace Van Owen, a central character from the television series "L.A. Law."
E987799 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: Van Owen | Statement: [Grace Van Owen, hasNameFamilyName, Van Owen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Van Owen
Context triple: [Grace Van Owen, hasNameFamilyName, Van Owen]
  • A. Gene Davis
    Gene Davis was an American painter best known for his vibrant vertical stripe paintings that became emblematic of the Washington Color School and post-painterly abstraction.
  • B. Gene Davis
    Gene Davis was an American actor known for his roles in 1970s and 1980s films and television, often portraying intense or offbeat characters.
  • C. Arthur Fuller
    Arthur Fuller is known as the husband of American actress and singer Cynda Williams.
  • D. Roy Emerson Stryker
    Roy Emerson Stryker was an American economist and photographer best known for directing the Farm Security Administration’s documentary photography project during the Great Depression.
  • E. S. L. A. Marshall
    S. L. A. Marshall was an American military historian and U.S. Army officer known for his influential and sometimes controversial studies of combat behavior and battlefield tactics.
  • 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: Van Owen
Triple: [Grace Van Owen, hasNameFamilyName, Van Owen]
Generated description
Van Owen is the surname of Grace Van Owen, a central character from the television series "L.A. Law."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Van Owen
Target entity description: Van Owen is the surname of Grace Van Owen, a central character from the television series "L.A. Law."
  • A. Gene Davis
    Gene Davis was an American painter best known for his vibrant vertical stripe paintings that became emblematic of the Washington Color School and post-painterly abstraction.
  • B. Gene Davis
    Gene Davis was an American actor known for his roles in 1970s and 1980s films and television, often portraying intense or offbeat characters.
  • C. Arthur Fuller
    Arthur Fuller is known as the husband of American actress and singer Cynda Williams.
  • D. Roy Emerson Stryker
    Roy Emerson Stryker was an American economist and photographer best known for directing the Farm Security Administration’s documentary photography project during the Great Depression.
  • E. S. L. A. Marshall
    S. L. A. Marshall was an American military historian and U.S. Army officer known for his influential and sometimes controversial studies of combat behavior and battlefield tactics.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dfa98348190b9ac164ecdada6fe completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bb131608190b34a07a7026b160e completed May 2, 2026, 7:08 p.m.
NEDg Description generation batch_69f64d15a97c81909046190f0d0fd986 completed May 2, 2026, 7:14 p.m.
NED2 Entity disambiguation (via description) batch_69f64e6d311c8190b851b89e394165d0 completed May 2, 2026, 7:20 p.m.
Created at: April 8, 2026, 9:57 p.m.