Triple

T20245418
Position Surface form Disambiguated ID Type / Status
Subject Rags Ragland E498411 entity
Predicate realName P9233 FINISHED
Object John Ragland
John Ragland, better known by his stage name Rags Ragland, was an American character actor and comedian noted for his comic roles in 1940s Hollywood films and vaudeville.
 E1420741 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: John Ragland | Statement: [Rags Ragland, realName, John Ragland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Ragland
Context triple: [Rags Ragland, realName, John Ragland]
  • A. George Eldredge
    George Eldredge was an American character actor known for his numerous supporting roles in mid-20th-century film and television, often portraying authority figures or villains.
  • B. Charles Roane
    Charles Roane is a songwriter best known for co-writing the R&B hit "My Love Is Like...Wo" performed by Mýa.
  • C. Charles Roane
    Charles Roane is a music producer known for his work on the album "Back to Basics."
  • D. William McCreery
    William McCreery is a notable individual recognized for his historical significance and public prominence associated with the surname McCreery.
  • E. William Ragsdale
    William Ragsdale is an American actor best known for his lead role in the 1985 horror-comedy film "Fright Night" and its sequel.
  • 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: John Ragland
Triple: [Rags Ragland, realName, John Ragland]
Generated description
John Ragland, better known by his stage name Rags Ragland, was an American character actor and comedian noted for his comic roles in 1940s Hollywood films and vaudeville.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John Ragland
Target entity description: John Ragland, better known by his stage name Rags Ragland, was an American character actor and comedian noted for his comic roles in 1940s Hollywood films and vaudeville.
  • A. George Eldredge
    George Eldredge was an American character actor known for his numerous supporting roles in mid-20th-century film and television, often portraying authority figures or villains.
  • B. Charles Roane
    Charles Roane is a songwriter best known for co-writing the R&B hit "My Love Is Like...Wo" performed by Mýa.
  • C. Charles Roane
    Charles Roane is a music producer known for his work on the album "Back to Basics."
  • D. William McCreery
    William McCreery is a notable individual recognized for his historical significance and public prominence associated with the surname McCreery.
  • E. William Ragsdale
    William Ragsdale is an American actor best known for his lead role in the 1985 horror-comedy film "Fright Night" and its sequel.
  • 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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e673a26c8481908f408fb6426aece9 completed April 20, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0855222ac88190b8e950fcc12418e7 completed May 16, 2026, 11:29 a.m.
NEDg Description generation batch_6a0855d7d87481908ff14d53a2ac94f7 completed May 16, 2026, 11:32 a.m.
NED2 Entity disambiguation (via description) batch_6a0856da3e748190866c328a6c61b3d8 completed May 16, 2026, 11:36 a.m.
Created at: April 11, 2026, 11:40 p.m.