Triple

T12150598
Position Surface form Disambiguated ID Type / Status
Subject Beatrice I, Countess of Burgundy E289441 entity
Predicate givenName P17 FINISHED
Object Beatrice E135226 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: Beatrice | Statement: [Beatrice I, Countess of Burgundy, givenName, Beatrice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beatrice
Context triple: [Beatrice I, Countess of Burgundy, givenName, Beatrice]
  • A. Beatrice
    Beatrice is the idealized woman in Dante Alighieri’s Divine Comedy who serves as his spiritual guide through Paradise and symbolizes divine love and theology.
  • B. Beatrice
    Beatrice is a sharp-witted, independent, and outspoken heroine in Shakespeare’s comedy "Much Ado About Nothing," known for her lively banter and reluctant romance with Benedick.
  • C. Beatrice
    Beatrice of Hohenstaufen was a 13th-century Holy Roman Empress and Queen of Germany, the daughter of Emperor Frederick II and wife of King Philip of Swabia.
  • D. Beatrice chosen
    Beatrice is a feminine given name of Latin origin, traditionally associated with meanings like "she who brings happiness" or "bringer of joy."
  • E. Beatrice
    Beatrice is the ship that transported the basalt sarcophagus of the Egyptian pharaoh Menkaure.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915ae736c8190aaab05efb93c5854 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f698c5648190a5a29e08f2b7d8ab completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:49 p.m.