Triple

T13910429
Position Surface form Disambiguated ID Type / Status
Subject Miriam Hopkins E334474 entity
Predicate spouse P13 FINISHED
Object Austin Parker
Austin Parker was the husband of American actress Miriam Hopkins, known primarily in relation to her personal life rather than for a prominent public career of his own.
 E1070754 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: Austin Parker | Statement: [Miriam Hopkins, spouse, Austin Parker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Austin Parker
Context triple: [Miriam Hopkins, spouse, Austin Parker]
  • A. Alex Parker
    Alex Parker is a musician best known for having been a member of the American rock band No Doubt.
  • B. Parker Thomson
    Parker Thomson was a prominent Miami attorney and philanthropist known for his significant support of the performing arts.
  • C. Parker Harris
    Parker Harris is a technology entrepreneur best known as a co-founder and longtime chief technology leader of the cloud-based software company Salesforce.
  • D. Jacob Parker
    Jacob Parker is an actor known for his role in the American television sitcom "Evening Shade."
  • E. Austin Stowell
    Austin Stowell is an American actor known for his roles in films such as "Whiplash," "Bridge of Spies," and "Colossal," as well as various television series.
  • 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: Austin Parker
Triple: [Miriam Hopkins, spouse, Austin Parker]
Generated description
Austin Parker was the husband of American actress Miriam Hopkins, known primarily in relation to her personal life rather than for a prominent public career of his own.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Austin Parker
Target entity description: Austin Parker was the husband of American actress Miriam Hopkins, known primarily in relation to her personal life rather than for a prominent public career of his own.
  • A. Alex Parker
    Alex Parker is a musician best known for having been a member of the American rock band No Doubt.
  • B. Parker Thomson
    Parker Thomson was a prominent Miami attorney and philanthropist known for his significant support of the performing arts.
  • C. Parker Harris
    Parker Harris is a technology entrepreneur best known as a co-founder and longtime chief technology leader of the cloud-based software company Salesforce.
  • D. Jacob Parker
    Jacob Parker is an actor known for his role in the American television sitcom "Evening Shade."
  • E. Austin Stowell
    Austin Stowell is an American actor known for his roles in films such as "Whiplash," "Bridge of Spies," and "Colossal," as well as various television series.
  • 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_69d81c5eaa9c819083b1ff8689179565 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2723461881908376b5509ee0d530 completed April 14, 2026, 11:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce783d808190b0e0ec89591af51d completed May 3, 2026, 10:38 p.m.
NEDg Description generation batch_69f7cf95e5a08190b264e543877d2852 completed May 3, 2026, 10:43 p.m.
NED2 Entity disambiguation (via description) batch_69fb5504702081908a1492f1a8e24434 completed May 6, 2026, 2:49 p.m.
Created at: April 9, 2026, 10:16 p.m.