Triple

T5110006
Position Surface form Disambiguated ID Type / Status
Subject The Merchant of Venice E115190 entity
Predicate character P662 FINISHED
Object Portia E494621 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: Portia | Statement: [The Merchant of Venice, character, Portia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Portia
Context triple: [The Merchant of Venice, character, Portia]
  • A. Portia chosen
    Portia is a wealthy, intelligent, and quick-witted heiress in Shakespeare’s play "The Merchant of Venice," renowned for her resourcefulness and famous courtroom disguise as a male lawyer.
  • B. Portia Doubleday
    Portia Doubleday is an American actress best known for her role as Angela Moss in the television series "Mr. Robot."
  • C. 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.
  • D. Beatrice
    Beatrice is a feminine given name of Latin origin, traditionally associated with meanings like "she who brings happiness" or "bringer of joy."
  • E. Agnese
    Agnese is an Italian given name, equivalent to the English name Agnes, traditionally associated with Christian saints and classical European usage.
  • 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_69bd4441d1648190a54a533895041987 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd75ac19e88190aa8cc8b930a58d2d completed March 20, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec372e308819082fefe9e2b58370d completed March 21, 2026, 4:12 p.m.
Created at: March 20, 2026, 1:41 p.m.