Triple

T13948196
Position Surface form Disambiguated ID Type / Status
Subject Count Olaf E335444 entity
Predicate usesAlias P23264 FINISHED
Object 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.
 E1070657 NE FINISHED

How this triple was built (4 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: [Count Olaf, usesAlias, Stephano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stephano
Context triple: [Count Olaf, usesAlias, Stephano]
  • A. Stephano
    Stephano is a comical, drunken butler in William Shakespeare’s play "The Tempest," known for his foolish schemes and slapstick antics.
  • B. Timoteo
    Timoteo is a masculine given name, commonly used in Romance-language countries, derived from the biblical name Timothy.
  • C. Dionisio
    Dionisio is a masculine given name of Greek origin, derived from Dionysius and associated with the ancient Greek god Dionysus.
  • D. Archibaldo
    Archibaldo is a Muppet character from the Mexican adaptation of Sesame Street, Plaza Sésamo, known for his formal, somewhat pompous personality.
  • E. Lemuel
    Lemuel is a masculine given name of Hebrew origin, traditionally interpreted to mean "devoted to God" or "belonging to God."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Stephano
Triple: [Count Olaf, usesAlias, Stephano]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stephano
Target entity description: 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.
  • A. Stephano
    Stephano is a comical, drunken butler in William Shakespeare’s play "The Tempest," known for his foolish schemes and slapstick antics.
  • B. Timoteo
    Timoteo is a masculine given name, commonly used in Romance-language countries, derived from the biblical name Timothy.
  • C. Dionisio
    Dionisio is a masculine given name of Greek origin, derived from Dionysius and associated with the ancient Greek god Dionysus.
  • D. Archibaldo
    Archibaldo is a Muppet character from the Mexican adaptation of Sesame Street, Plaza Sésamo, known for his formal, somewhat pompous personality.
  • E. Lemuel
    Lemuel is a masculine given name of Hebrew origin, traditionally interpreted to mean "devoted to God" or "belonging to God."
  • F. None of above. chosen

Provenance (5 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_69d81c6081b88190b53e317c3370c8fe completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e12171c8190b95746bdd4845def completed April 14, 2026, 12:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce903c5c8190b72d83a5b842ad70 completed May 3, 2026, 10:39 p.m.
NEDg Description generation batch_69f9fd5d4abc8190aa10d9f1c9f7f9c9 completed May 5, 2026, 2:23 p.m.
NED2 Entity disambiguation (via description) batch_69fb14bfa2c081908381bb74f040c6c8 completed May 6, 2026, 10:15 a.m.
Created at: April 9, 2026, 10:17 p.m.