Triple

T14215278
Position Surface form Disambiguated ID Type / Status
Subject The Tempest (Adès) E352332 entity
Predicate character P662 FINISHED
Object Stephano E352330 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: Stephano | Statement: [The Tempest (Adès), character, Stephano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stephano
Context triple: [The Tempest (Adès), character, Stephano]
  • A. Stephano chosen
    Stephano is a comical, drunken butler in William Shakespeare’s play "The Tempest," known for his foolish schemes and slapstick antics.
  • B. Stephano
    Stephano is a false identity adopted by the villainous Count Olaf in Lemony Snicket’s "A Series of Unfortunate Events" to deceive and manipulate the Baudelaire orphans.
  • C. Timoteo
    Timoteo is a masculine given name, commonly used in Romance-language countries, derived from the biblical name Timothy.
  • D. Dionisio
    Dionisio is a masculine given name of Greek origin, derived from Dionysius and associated with the ancient Greek god Dionysus.
  • E. Archibaldo
    Archibaldo is a Muppet character from the Mexican adaptation of Sesame Street, Plaza Sésamo, known for his formal, somewhat pompous personality.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6210213481908fac6893e8a9f143 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd280e56e0819097e2aa2b28f19257 completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 1:06 a.m.