Triple

T12589877
Position Surface form Disambiguated ID Type / Status
Subject Léo Delibes E300574 entity
Predicate notableWork P4 FINISHED
Object Sylvia
Sylvia is a celebrated 19th-century ballet by French composer Léo Delibes, renowned for its lyrical score and classical choreography.
 E993320 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: Sylvia | Statement: [Léo Delibes, notableWork, Sylvia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sylvia
Context triple: [Léo Delibes, notableWork, Sylvia]
  • A. Sylvia
    Sylvia is a feminine given name of Latin origin meaning "from the forest" or "of the woods."
  • B. Sylvia
    Sylvia is a key character in the film "The Truman Show," a woman who tries to reveal the truth to Truman about his manufactured reality and becomes his inspiration to escape.
  • C. Sylvia
    "Sylvia" is a biographical drama film about poet Sylvia Plath, focusing on her turbulent marriage to Ted Hughes and her creative and emotional struggles.
  • D. Sylvia
    Sylvia is a central female character in George Farquhar’s Restoration comedy "The Recruiting Officer," known for her wit, disguise, and critique of gender and social norms.
  • E. Sylvia
    Sylvia is a character in the film "Birdman," known as the ex-wife of the troubled actor Riggan Thomson.
  • 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: Sylvia
Triple: [Léo Delibes, notableWork, Sylvia]
Generated description
Sylvia is a celebrated 19th-century ballet by French composer Léo Delibes, renowned for its lyrical score and classical choreography.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sylvia
Target entity description: Sylvia is a celebrated 19th-century ballet by French composer Léo Delibes, renowned for its lyrical score and classical choreography.
  • A. Sylvia
    Sylvia is a feminine given name of Latin origin meaning "from the forest" or "of the woods."
  • B. Sylvia
    Sylvia is a key character in the film "The Truman Show," a woman who tries to reveal the truth to Truman about his manufactured reality and becomes his inspiration to escape.
  • C. Sylvia
    "Sylvia" is a biographical drama film about poet Sylvia Plath, focusing on her turbulent marriage to Ted Hughes and her creative and emotional struggles.
  • D. Sylvia
    Sylvia is a central female character in George Farquhar’s Restoration comedy "The Recruiting Officer," known for her wit, disguise, and critique of gender and social norms.
  • E. Sylvia
    Sylvia is a character in the film "Birdman," known as the ex-wife of the troubled actor Riggan Thomson.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954bd5e8c8190a2f233b91682341f completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ec0a60c8190948706e8b2fcc0ad completed May 2, 2026, 8:29 p.m.
NEDg Description generation batch_69f662cc2a208190870e2099a8bb5d04 completed May 2, 2026, 8:47 p.m.
NED2 Entity disambiguation (via description) batch_69f6638319d48190ba73480ce6e91d83 completed May 2, 2026, 8:50 p.m.
Created at: April 9, 2026, 5:06 p.m.