Triple

T20186037
Position Surface form Disambiguated ID Type / Status
Subject Arrie Clark E492863 entity
Predicate hasSon P6882 FINISHED
Object Lloyd Barker
Lloyd Barker is the son of Arrie Clark, known primarily in relation to her life and family.
 E1435522 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: Lloyd Barker | Statement: [Arrie Clark, hasSon, Lloyd Barker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lloyd Barker
Context triple: [Arrie Clark, hasSon, Lloyd Barker]
  • A. Lloyd Barker
    Lloyd Barker was an American gangster best known as a member of the notorious Barker–Karpis crime gang during the early 20th century.
  • B. Lloyd Warren
    Lloyd Warren was an American architect and educator known for co-founding the Beaux-Arts Institute of Design in New York City.
  • C. Lester Ballard
    Lester Ballard is the violent, mentally unstable drifter and antihero at the center of Cormac McCarthy’s novel "Child of God," known for his descent into extreme depravity and isolation in rural Tennessee.
  • D. Lloyd Hubler
    Lloyd Hubler is a cinematographer best known for his work on the animated film "Megamind."
  • E. Frank Barnes
    Frank Barnes is the veteran railroad engineer portrayed by Denzel Washington in the 2010 action thriller film "Unstoppable," where he helps avert disaster by stopping a runaway train.
  • 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: Lloyd Barker
Triple: [Arrie Clark, hasSon, Lloyd Barker]
Generated description
Lloyd Barker is the son of Arrie Clark, known primarily in relation to her life and family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lloyd Barker
Target entity description: Lloyd Barker is the son of Arrie Clark, known primarily in relation to her life and family.
  • A. Lloyd Barker
    Lloyd Barker was an American gangster best known as a member of the notorious Barker–Karpis crime gang during the early 20th century.
  • B. Lloyd Warren
    Lloyd Warren was an American architect and educator known for co-founding the Beaux-Arts Institute of Design in New York City.
  • C. Lester Ballard
    Lester Ballard is the violent, mentally unstable drifter and antihero at the center of Cormac McCarthy’s novel "Child of God," known for his descent into extreme depravity and isolation in rural Tennessee.
  • D. Lloyd Hubler
    Lloyd Hubler is a cinematographer best known for his work on the animated film "Megamind."
  • E. Frank Barnes
    Frank Barnes is the veteran railroad engineer portrayed by Denzel Washington in the 2010 action thriller film "Unstoppable," where he helps avert disaster by stopping a runaway train.
  • 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e668f2c03c819096336462f59dba91 completed April 20, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a089d2103a481908c581faea7555df6 completed May 16, 2026, 4:36 p.m.
NEDg Description generation batch_6a089db22fcc819094d595a3ce4e19a6 completed May 16, 2026, 4:39 p.m.
NED2 Entity disambiguation (via description) batch_6a089e4c21d88190a6c1ddf8e0879cb1 completed May 16, 2026, 4:41 p.m.
Created at: April 11, 2026, 11:36 p.m.