Triple

T14873996
Position Surface form Disambiguated ID Type / Status
Subject Lynette Scavo E349819 entity
Predicate residence P75 FINISHED
Object Eagle State E98086 NE FINISHED

How this triple was built (2 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: Eagle State | Statement: [Lynette Scavo, residence, Eagle State]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eagle State
Context triple: [Lynette Scavo, residence, Eagle State]
  • A. Morvee State
    Morvee State is a former princely state in western India, historically located in present-day Gujarat.
  • B. Stan State
    Stan State is the commonly used name for California State University, Stanislaus, a public university in Turlock, California, known for its diverse academic programs and regional impact.
  • C. Yellowhammer State chosen
    The Yellowhammer State is a nickname for Alabama, referencing the state bird and commonly used as an informal moniker for the U.S. state.
  • D. Northern State
    Northern State is a sparsely populated administrative region in northern Sudan that encompasses much of the Nubian Desert and stretches along the Nile River.
  • E. Satanta
    Satanta was a prominent 19th-century Kiowa war leader and orator known for his resistance to U.S. expansion onto Native American lands.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5e2c94c8190a16f05ea81701fc1 completed April 15, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b52c12481908d0173a2a3ed854b completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 1:55 a.m.