Triple

T9181524
Position Surface form Disambiguated ID Type / Status
Subject Sir Yvain E220341 entity
Predicate spouse P13 FINISHED
Object Laudine
Laudine is a noble lady from Arthurian legend, best known as the Lady of the Fountain in Chrétien de Troyes’ romance "Yvain, the Knight of the Lion."
 E781871 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: Laudine | Statement: [Sir Yvain, spouse, Laudine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Laudine
Context triple: [Sir Yvain, spouse, Laudine]
  • A. Bauline
    Bauline is a small coastal town in Newfoundland and Labrador, Canada, located on the Avalon Peninsula near St. John’s.
  • B. Laureline
    Laureline is a courageous and quick-witted space-time agent who partners with Valerian in the sci-fi universe of "Valerian and the City of a Thousand Planets."
  • C. Lela
    Lela is a feminine given name used in various cultures, often as a variant of Leila or Layla.
  • D. Liliane
    Liliane is a feminine given name of French origin, notably borne by French heiress and businesswoman Liliane Bettencourt.
  • E. Rainelle
    Rainelle is a small town located in western Greenbrier County, West Virginia, historically tied to the lumber industry and the surrounding Appalachian region.
  • 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: Laudine
Triple: [Sir Yvain, spouse, Laudine]
Generated description
Laudine is a noble lady from Arthurian legend, best known as the Lady of the Fountain in Chrétien de Troyes’ romance "Yvain, the Knight of the Lion."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Laudine
Target entity description: Laudine is a noble lady from Arthurian legend, best known as the Lady of the Fountain in Chrétien de Troyes’ romance "Yvain, the Knight of the Lion."
  • A. Bauline
    Bauline is a small coastal town in Newfoundland and Labrador, Canada, located on the Avalon Peninsula near St. John’s.
  • B. Laureline
    Laureline is a courageous and quick-witted space-time agent who partners with Valerian in the sci-fi universe of "Valerian and the City of a Thousand Planets."
  • C. Lela
    Lela is a feminine given name used in various cultures, often as a variant of Leila or Layla.
  • D. Liliane
    Liliane is a feminine given name of French origin, notably borne by French heiress and businesswoman Liliane Bettencourt.
  • E. Rainelle
    Rainelle is a small town located in western Greenbrier County, West Virginia, historically tied to the lumber industry and the surrounding Appalachian region.
  • 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_69ca83e589948190ac9907819db11ddf completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccc25379008190b8ca047efe3bb7bb completed April 1, 2026, 6:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69d054b5512c8190aa7909ef8b56b186 completed April 4, 2026, midnight
NEDg Description generation batch_69d055c6b7f08190ad6ff81adffaeab1 completed April 4, 2026, 12:05 a.m.
NED2 Entity disambiguation (via description) batch_69d05655a27c8190b0445476c10f57ce completed April 4, 2026, 12:07 a.m.
Created at: March 30, 2026, 7:23 p.m.