Triple

T4285668
Position Surface form Disambiguated ID Type / Status
Subject Sean E97261 entity
Predicate hasFeminineForm P1613 FINISHED
Object Shauna
Shauna is a feminine given name, commonly considered the female form of Sean and used primarily in English-speaking countries.
 E427742 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: Shauna | Statement: [Sean, hasFeminineForm, Shauna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shauna
Context triple: [Sean, hasFeminineForm, Shauna]
  • A. Shayla
    Shayla is a feminine given name, often considered a modern or variant spelling of names like Sheila or Shayla-related forms.
  • B. Shanell
    Shanell is an American singer-songwriter and dancer best known for her work with Lil Wayne’s Young Money Entertainment label.
  • C. Sheelagh
    Sheelagh is a feminine given name, typically considered an alternative spelling of Sheila and ultimately derived from the Irish name Síle.
  • D. Brenna
    Brenna is a Norwegian surname most notably borne by Tonje Brenna, a contemporary Norwegian politician.
  • E. Rainelle
    Rainelle is a small town located in western Greenbrier County, West Virginia, historically tied to the lumber industry and the surrounding Appalachian region.
  • 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: Shauna
Triple: [Sean, hasFeminineForm, Shauna]
Generated description
Shauna is a feminine given name, commonly considered the female form of Sean and used primarily in English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shauna
Target entity description: Shauna is a feminine given name, commonly considered the female form of Sean and used primarily in English-speaking countries.
  • A. Shayla
    Shayla is a feminine given name, often considered a modern or variant spelling of names like Sheila or Shayla-related forms.
  • B. Shanell
    Shanell is an American singer-songwriter and dancer best known for her work with Lil Wayne’s Young Money Entertainment label.
  • C. Sheelagh
    Sheelagh is a feminine given name, typically considered an alternative spelling of Sheila and ultimately derived from the Irish name Síle.
  • D. Brenna
    Brenna is a Norwegian surname most notably borne by Tonje Brenna, a contemporary Norwegian politician.
  • E. Rainelle
    Rainelle is a small town located in western Greenbrier County, West Virginia, historically tied to the lumber industry and the surrounding Appalachian region.
  • 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_69b3454595848190a0e6bbb6a2bea040 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3505bff588190919a4ef547f607c2 completed March 12, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b7c657b08190b96135c34622e559 completed March 14, 2026, 7:32 p.m.
NEDg Description generation batch_69b5bba7859481909e2afe21774dc599 completed March 14, 2026, 7:48 p.m.
NED2 Entity disambiguation (via description) batch_69b5bc5f26508190b333ec09c517f7c8 completed March 14, 2026, 7:51 p.m.
Created at: March 12, 2026, 11:07 p.m.