Triple

T37411692
Position Surface form Disambiguated ID Type / Status
Subject Beauty and the Beast (traditional fairy tale) E929586 entity
Predicate hasLaterPopularVersion P140668 FINISHED
Object La Belle et la Bête by Jeanne‑Marie Leprince de Beaumont
La Belle et la Bête by Jeanne‑Marie Leprince de Beaumont is an influential 18th‑century French literary retelling of the Beauty and the Beast fairy tale that became the most widely known and enduring version of the story.
 E2227325 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: La Belle et la Bête by Jeanne‑Marie Leprince de Beaumont | Statement: [Beauty and the Beast (traditional fairy tale), hasLaterPopularVersion, La Belle et la Bête by Jeanne‑Marie Leprince de Beaumont]
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: La Belle et la Bête by Jeanne‑Marie Leprince de Beaumont
Triple: [Beauty and the Beast (traditional fairy tale), hasLaterPopularVersion, La Belle et la Bête by Jeanne‑Marie Leprince de Beaumont]
Generated description
La Belle et la Bête by Jeanne‑Marie Leprince de Beaumont is an influential 18th‑century French literary retelling of the Beauty and the Beast fairy tale that became the most widely known and enduring version of the story.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasLaterPopularVersion
Context triple: [Beauty and the Beast (traditional fairy tale), hasLaterPopularVersion, La Belle et la Bête by Jeanne‑Marie Leprince de Beaumont]
  • A. hasSubsequentVersion chosen
    Indicates that one entity is a later or updated version that follows another entity in a version sequence.
  • B. hasEarlierVersion
    Indicates that one entity is an earlier or prior version of another entity in a version sequence.
  • C. hasSmallerVersion
    Indicates that one entity exists as a reduced-size or smaller-scale version of another entity.
  • D. containsNewVersionOf
    Indicates that one entity includes or embeds a newer version of another entity.
  • E. laterVersionsCapability
    Indicates that one entity has the capability to support, handle, or be compatible with later versions of another entity.
  • 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_69f76ebde49481908566cd96b37ccc84 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69ffde9263248190996f970b6cf6e49d completed May 10, 2026, 1:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a40824907d08190be2bc2954253b7dd completed June 28, 2026, 2:09 a.m.
NEDg Description generation batch_6a40831398d881909fcf9db7b114af80 completed June 28, 2026, 2:12 a.m.
NED2 Entity disambiguation (via description) batch_6a408376f790819096807d7700e260ff completed June 28, 2026, 2:14 a.m.
PD Predicate disambiguation batch_69ffdd760f1c8190abc6c0c1cd97ba5f completed May 10, 2026, 1:20 a.m.
Created at: May 3, 2026, 4:16 p.m.