Triple

T13457950
Position Surface form Disambiguated ID Type / Status
Subject Peter Lassen E311281 entity
Predicate knownAs P39 FINISHED
Object Don Pedro E259333 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: Don Pedro | Statement: [Peter Lassen, knownAs, Don Pedro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don Pedro
Context triple: [Peter Lassen, knownAs, Don Pedro]
  • A. Don Pedro
    Don Pedro is the given name of Don Pedro Colley, an American actor known for his roles in film and television during the 1960s and 1970s.
  • B. Don Pedro chosen
    Don Pedro is a noble prince of Aragon who serves as a charismatic and benevolent leader and matchmaker in Shakespeare’s comedy "Much Ado About Nothing."
  • C. Benedick
    Benedick is a witty, sharp-tongued nobleman and confirmed bachelor whose verbal sparring and reluctant romance with Beatrice form a central comic focus in Shakespeare’s Much Ado About Nothing.
  • D. Bernardo
    Bernardo is a masculine given name of Romance-language origin, equivalent to the Germanic name Bernhard and commonly used in Italian, Spanish, and Portuguese-speaking countries.
  • E. Don Adriano de Armado
    Don Adriano de Armado is a comically verbose and pompous Spanish braggart knight in Shakespeare’s play "Love’s Labour’s Lost."
  • 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_69d806a938b8819097ec43a2229fc7f9 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf0a75008190a508060c85f73604 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f739a001d08190ae5664c6670540e7 completed May 3, 2026, 12:03 p.m.
Created at: April 9, 2026, 9:41 p.m.