Triple

T34490542
Position Surface form Disambiguated ID Type / Status
Subject Danse macabre E885454 entity
Predicate originalVersionTextAuthor P23529 FINISHED
Object Henri Cazalis
Henri Cazalis was a 19th-century French Symbolist poet and physician whose macabre and mystical verse inspired works by composers such as Camille Saint-Saëns.
 E2297974 NE FINISHED

How this triple was built (3 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: Henri Cazalis | Statement: [Danse macabre, originalVersionTextAuthor, Henri Cazalis]
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: Henri Cazalis
Triple: [Danse macabre, originalVersionTextAuthor, Henri Cazalis]
Generated description
Henri Cazalis was a 19th-century French Symbolist poet and physician whose macabre and mystical verse inspired works by composers such as Camille Saint-Saëns.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: originalVersionTextAuthor
Context triple: [Danse macabre, originalVersionTextAuthor, Henri Cazalis]
  • A. originalTextVersion
    Indicates that one text is the original version from which another text (such as a translation, revision, or adaptation) is derived.
  • B. originalVersionRecordedBy
    Indicates that the original version of a work (e.g., a song or recording) was recorded by a specific performer or recording entity.
  • C. originalText
    Indicates that one text is the initial, unmodified version from which other versions, translations, or representations are derived.
  • D. originalVersionStyle
    Indicates that one entity represents the stylistic form or manner of expression used in the original version of another entity.
  • E. originAuthor chosen
    Indicates that an entity is the original creator or author of another entity (such as a work, document, or idea).
  • F. None of above.

Provenance (6 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_69f349cafcec8190997b45b3fdc16c27 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_6a037c8ae0248190b7e2ce4bf852c22d completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a84183b93808190ad616b16586e28ab completed Aug. 18, 2026, 8:30 a.m.
NEDg Description generation batch_6a8418ab2f50819085c9c31a8713891d completed Aug. 18, 2026, 8:32 a.m.
NED2 Entity disambiguation (via description) batch_6a8419945abc8190948008666f42f615 completed Aug. 18, 2026, 8:36 a.m.
PD Predicate disambiguation batch_6a0379fbe4a08190bfe65ebd141164e9 completed May 12, 2026, 7:05 p.m.
Created at: May 1, 2026, 2:01 a.m.