Triple

T18532178
Position Surface form Disambiguated ID Type / Status
Subject Brenda E452857 entity
Predicate hasShortForm P43 FINISHED
Object Brenny
Brenny is a familiar or affectionate nickname commonly used for someone named Brenda.
E1330381 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: Brenny | Statement: [Brenda, hasShortForm, Brenny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brenny
Context triple: [Brenda, hasShortForm, Brenny]
  • A. Breen
    Breen is a surname of Irish origin borne by various notable individuals across fields such as film censorship, sports, and academia.
  • B. Brenna
    Brenna is a Norwegian surname most notably borne by Tonje Brenna, a contemporary Norwegian politician.
  • C. Brenna
    Brenna is a village and popular tourist resort in southern Poland, situated in the Silesian Beskids mountain range.
  • D. Bracy
    Bracy is a surname most notably associated with Clara T. Bracy, an early film and stage actress.
  • E. Bauline
    Bauline is a small coastal town in Newfoundland and Labrador, Canada, located on the Avalon Peninsula near St. John’s.
  • 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: Brenny
Triple: [Brenda, hasShortForm, Brenny]
Generated description
Brenny is a familiar or affectionate nickname commonly used for someone named Brenda.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Brenny
Target entity description: Brenny is a familiar or affectionate nickname commonly used for someone named Brenda.
  • A. Breen
    Breen is a surname of Irish origin borne by various notable individuals across fields such as film censorship, sports, and academia.
  • B. Brenna
    Brenna is a Norwegian surname most notably borne by Tonje Brenna, a contemporary Norwegian politician.
  • C. Brenna
    Brenna is a village and popular tourist resort in southern Poland, situated in the Silesian Beskids mountain range.
  • D. Bracy
    Bracy is a surname most notably associated with Clara T. Bracy, an early film and stage actress.
  • E. Bauline
    Bauline is a small coastal town in Newfoundland and Labrador, Canada, located on the Avalon Peninsula near St. John’s.
  • 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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e533fe35288190977c85ee0bb96264 completed April 19, 2026, 7:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a049ad81eb88190a2b0b57faa622e46 completed May 13, 2026, 3:38 p.m.
NEDg Description generation batch_6a049c86bd748190a10f6f720cc4c9eb completed May 13, 2026, 3:45 p.m.
NED2 Entity disambiguation (via description) batch_6a049e9f82d48190b375adef9fbfd1bd completed May 13, 2026, 3:54 p.m.
Created at: April 10, 2026, 11:37 a.m.