Triple

T7226988
Position Surface form Disambiguated ID Type / Status
Subject Philippine Élisabeth d'Orléans E154805 entity
Predicate givenName P17 FINISHED
Object Élisabeth E113408 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: Élisabeth | Statement: [Philippine Élisabeth d'Orléans, givenName, Élisabeth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Élisabeth
Context triple: [Philippine Élisabeth d'Orléans, givenName, Élisabeth]
  • A. Elisabeth chosen
    Elisabeth is a feminine given name of Hebrew origin, commonly used in various European languages as a form of Elizabeth.
  • B. Elisabeth
    Elisabeth is a metro station on the Brussels Metro system in Brussels, Belgium.
  • C. Victoria of France
    Victoria of France was a French princess, daughter of King Henry II and Catherine de' Medici, and sister of King Francis II of France.
  • D. Élisabeth of France
    Élisabeth of France was an 18th-century French princess, daughter of King Louis XV and sister of King Louis XVI, known for her piety and loyalty to the royal family during the French Revolution.
  • E. Elisabeth of France
    Elisabeth of France was a 17th-century French princess of the Bourbon dynasty who became Queen of Spain and Portugal as the first wife of King Philip IV.
  • 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_69c68811dd1c8190ac460bb39e64e1f0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6e9de21e081908f30700f6211c5ef completed March 27, 2026, 8:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cc17a3788190842a852fb4b96185 completed March 28, 2026, 12:39 p.m.
Created at: March 27, 2026, 2:54 p.m.