Triple

T719789
Position Surface form Disambiguated ID Type / Status
Subject Pauline Bonaparte E14390 entity
Predicate givenName P17 FINISHED
Object Pauline E35720 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: Pauline | Statement: [Pauline Bonaparte, givenName, Pauline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pauline
Context triple: [Pauline Bonaparte, givenName, Pauline]
  • A. Pauline chosen
    Pauline is a feminine given name used in various languages, often considered the female form of Paul.
  • B. Paula
    Paula is a feminine given name used in many languages, derived from the Latin name Paulus meaning "small" or "humble."
  • C. Susanna
    Susanna is a deuterocanonical addition to the Book of Daniel, telling the story of a virtuous woman falsely accused of adultery and vindicated by the prophet Daniel.
  • D. Claudia
    Claudia is a feminine given name used in various cultures, derived from the ancient Roman family name Claudius.
  • E. Rachel
    Rachel is a prominent biblical matriarch in the Book of Genesis, known as Jacob’s beloved wife and the mother of Joseph and Benjamin.
  • 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_69a4934a36e081909e7abef98b898a4e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a58e65e8819098cba7e6a20d8f33 completed March 1, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a63759d6108190adcdeac45e4c7766 completed March 3, 2026, 1:20 a.m.
Created at: March 1, 2026, 7:37 p.m.