Triple

T34792217
Position Surface form Disambiguated ID Type / Status
Subject Donkeyskin E1002976 entity
Predicate relatedFairyTaleType P116843 FINISHED
Object Aarne–Thompson–Uther 510A
Aarne–Thompson–Uther 510A is a folktale classification type encompassing stories in which a persecuted heroine flees an incestuous or otherwise abusive family situation, often in disguise, before ultimately achieving recognition and marriage.
E2113178 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: Aarne–Thompson–Uther 510A | Statement: [Donkeyskin, relatedFairyTaleType, Aarne–Thompson–Uther 510A]
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: Aarne–Thompson–Uther 510A
Triple: [Donkeyskin, relatedFairyTaleType, Aarne–Thompson–Uther 510A]
Generated description
Aarne–Thompson–Uther 510A is a folktale classification type encompassing stories in which a persecuted heroine flees an incestuous or otherwise abusive family situation, often in disguise, before ultimately achieving recognition and marriage.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relatedFairyTaleType
Context triple: [Donkeyskin, relatedFairyTaleType, Aarne–Thompson–Uther 510A]
  • A. associatedTale
    Indicates that one entity is linked or connected to a particular tale, story, or narrative.
  • B. hasFolkTaleType chosen
    Indicates that an entity (such as a story) is classified as belonging to a particular folk tale type or category.
  • C. relatedToInFiction
    Indicates that one entity is connected to another within a fictional context, such as a story, universe, or narrative work.
  • D. relatedType
    Indicates that one entity is connected to another through a specified type or category of relationship.
  • E. relatedCharacterType
    Indicates that one character has a specified type of relationship or role in connection to another character.
  • 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_69f76db47d408190a24fc7164439ea2d completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_6a037c8c34f88190ace26f555827f23e completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a376fa3e0e08190be6c829fd8476215 completed June 21, 2026, 4:59 a.m.
NEDg Description generation batch_6a37704fb6948190b7e025cfe56a1ee4 completed June 21, 2026, 5:02 a.m.
NED2 Entity disambiguation (via description) batch_6a37716ab2c48190b7c24792201885c8 completed June 21, 2026, 5:06 a.m.
PD Predicate disambiguation batch_6a0379fd7aac8190873077e63873aa72 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 3:59 p.m.