Triple

T22936321
Position Surface form Disambiguated ID Type / Status
Subject The Revenger's Tragedy E569594 entity
Predicate hasCharacter P2308 FINISHED
Object Gratiana NE NERFINISHED

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: Gratiana | Statement: [The Revenger's Tragedy, hasCharacter, Gratiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gratiana
Context triple: [The Revenger's Tragedy, hasCharacter, Gratiana]
  • A. Gratiana chosen
    Gratiana is a female given name of Latin origin, historically used in European contexts and associated with characters in literature and religious tradition.
  • B. Galava
    Galava is a sage from ancient Indian tradition associated with the Kushika dynasty and mentioned in various Hindu scriptures.
  • C. Carida
    Carida is a prominent Imperial military academy world in the Star Wars universe, known for rigorously training stormtroopers and naval officers.
  • D. Gerzat
    Gerzat is a commune in central France’s Puy-de-Dôme department, situated near Clermont-Ferrand in the Auvergne region.
  • E. Arycanda
    Arycanda was an ancient Lycian city in what is now southwestern Turkey, noted for its well-preserved ruins and terraced layout on a steep mountainside.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24590862c8190858f180ad302adab completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1813608e48190922df7a5386dc391 completed April 29, 2026, 3:55 a.m.
Created at: April 17, 2026, 3:44 p.m.