Triple

T20416443
Position Surface form Disambiguated ID Type / Status
Subject Jaquenetta E500724 entity
Predicate associatedWith P37 FINISHED
Object Don Armado
Don Armado is a comically verbose and lovestruck Spanish braggart knight in William Shakespeare’s play "Love’s Labour’s Lost."
 E1428882 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: Don Armado | Statement: [Jaquenetta, associatedWith, Don Armado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Don Armado
Context triple: [Jaquenetta, associatedWith, Don Armado]
  • A. Don Reo
    Don Reo is an American television writer and producer known for creating and working on numerous sitcoms and comedy series.
  • B. Ed Dumani
    Ed Dumani is a central crime boss and strategist in the British television series "Gangs of London," known for his pivotal role in the city's criminal underworld and complex family loyalties.
  • C. Z-Ro
    Z-Ro is an American rapper and singer from Houston, Texas, known for his gritty lyrics, melodic delivery, and influential role in Southern hip hop.
  • D. Mon Laferte
    Mon Laferte is a Chilean singer-songwriter known for her powerful vocals and genre-blending Latin rock and pop music.
  • E. Tom Dula
    Tom Dula was a North Carolina man whose 1868 execution for the murder of Laura Foster inspired the famous American folk ballad "Tom Dooley."
  • 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: Don Armado
Triple: [Jaquenetta, associatedWith, Don Armado]
Generated description
Don Armado is a comically verbose and lovestruck Spanish braggart knight in William Shakespeare’s play "Love’s Labour’s Lost."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Don Armado
Target entity description: Don Armado is a comically verbose and lovestruck Spanish braggart knight in William Shakespeare’s play "Love’s Labour’s Lost."
  • A. Don Reo
    Don Reo is an American television writer and producer known for creating and working on numerous sitcoms and comedy series.
  • B. Ed Dumani
    Ed Dumani is a central crime boss and strategist in the British television series "Gangs of London," known for his pivotal role in the city's criminal underworld and complex family loyalties.
  • C. Z-Ro
    Z-Ro is an American rapper and singer from Houston, Texas, known for his gritty lyrics, melodic delivery, and influential role in Southern hip hop.
  • D. Mon Laferte
    Mon Laferte is a Chilean singer-songwriter known for her powerful vocals and genre-blending Latin rock and pop music.
  • E. Tom Dula
    Tom Dula was a North Carolina man whose 1868 execution for the murder of Laura Foster inspired the famous American folk ballad "Tom Dooley."
  • 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_69e0b4a935588190b9446a99b37ced44 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67a4437448190b07b6e6e3de5830f completed April 20, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a087b284bb8819090f76ec27116c619 completed May 16, 2026, 2:11 p.m.
NEDg Description generation batch_6a088017be588190ab94b8180e44ebf4 completed May 16, 2026, 2:32 p.m.
NED2 Entity disambiguation (via description) batch_6a0880c45e1081908f439ade0c31a47e completed May 16, 2026, 2:35 p.m.
Created at: April 16, 2026, 11:30 a.m.