Triple

T12310266
Position Surface form Disambiguated ID Type / Status
Subject Philippa of Hainaut E293457 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 Hainaut, givenName, Philippa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philippa
Context triple: [Philippa of Hainaut, 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f02c0508190b10c0627cdaaba76 completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e84fa708190854afc6afd425fd7 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:53 p.m.