Triple

T11726605
Position Surface form Disambiguated ID Type / Status
Subject Philippa of Hainault E278786 entity
Predicate givenName P17 FINISHED
Object Philippa E278786 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: Philippa | Statement: [Philippa of Hainault, givenName, Philippa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philippa
Context triple: [Philippa of Hainault, givenName, Philippa]
  • A. Philippa chosen
    Philippa was a medieval European queen consort, most famously Philippa of Hainault, wife of King Edward III of England.
  • B. Euphemia
    Euphemia was the wife of Byzantine Emperor Justin I and served as empress consort of the Eastern Roman Empire in the early 6th century.
  • C. Genevieve
    Genevieve is a feminine given name, often associated with French and Celtic origins and linked to legendary and saintly figures in European tradition.
  • D. Phillipa
    Phillipa is the given name of American actress and singer Phillipa Soo, best known for originating the role of Eliza Hamilton in the Broadway musical "Hamilton."
  • E. Timothea
    Timothea is a feminine given name derived from the name Timothy, often interpreted to mean "honoring God."
  • 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4d70d908190b5f47c2ef501a191 completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef83e9efdc8190830f9b9cb5362b1c completed April 27, 2026, 3:42 p.m.
Created at: April 8, 2026, 9:41 p.m.