Triple

T9248137
Position Surface form Disambiguated ID Type / Status
Subject Shemia Fagan E222249 entity
Predicate givenName P17 FINISHED
Object Shemia
Shemia is an American politician and attorney best known for serving as Oregon’s Secretary of State.
E787257 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: Shemia | Statement: [Shemia Fagan, givenName, Shemia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shemia
Context triple: [Shemia Fagan, givenName, Shemia]
  • A. Shemariah
    Shemariah is a biblical figure mentioned in genealogical records as a descendant within the line associated with Mahalath.
  • B. Rehavia
    Rehavia is a historic, centrally located Jerusalem neighborhood known for its leafy streets, Bauhaus-style architecture, and mix of intellectual, political, and cultural residents.
  • C. Yishai
    Yishai is the Hebrew form of the biblical name Jesse, known as the father of King David in the Hebrew Bible.
  • D. Otzias
    Otzias is a coastal village and beach resort on the Greek island of Kea in the Cyclades.
  • E. Juda
    Juda is the historical name of Ouidah, a coastal city in present-day Benin that was a major center of the transatlantic slave trade.
  • 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: Shemia
Triple: [Shemia Fagan, givenName, Shemia]
Generated description
Shemia is an American politician and attorney best known for serving as Oregon’s Secretary of State.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shemia
Target entity description: Shemia is an American politician and attorney best known for serving as Oregon’s Secretary of State.
  • A. Shemariah
    Shemariah is a biblical figure mentioned in genealogical records as a descendant within the line associated with Mahalath.
  • B. Rehavia
    Rehavia is a historic, centrally located Jerusalem neighborhood known for its leafy streets, Bauhaus-style architecture, and mix of intellectual, political, and cultural residents.
  • C. Yishai
    Yishai is the Hebrew form of the biblical name Jesse, known as the father of King David in the Hebrew Bible.
  • D. Otzias
    Otzias is a coastal village and beach resort on the Greek island of Kea in the Cyclades.
  • E. Juda
    Juda is the historical name of Ouidah, a coastal city in present-day Benin that was a major center of the transatlantic slave trade.
  • 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_69ca841d2b18819089f9faf5b2c2aec0 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd05f6d62c8190a1e33f1854767b47 completed April 1, 2026, 11:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077f79cfc81908bae290aa25cf2a1 completed April 4, 2026, 2:31 a.m.
NEDg Description generation batch_69d07b1a5a3c81908a21d87ddaebc02a completed April 4, 2026, 2:44 a.m.
NED2 Entity disambiguation (via description) batch_69d07ee0cfc881909a091f988102d138 completed April 4, 2026, 3 a.m.
Created at: March 30, 2026, 7:31 p.m.