Triple

T7401136
Position Surface form Disambiguated ID Type / Status
Subject Odet de Coligny E170750 entity
Predicate givenName P17 FINISHED
Object Odet
Odet is a given name most notably borne by Odet de Coligny, a 16th-century French cardinal and prominent figure in the early French Reformation.
 E662279 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: Odet | Statement: [Odet de Coligny, givenName, Odet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Odet
Context triple: [Odet de Coligny, givenName, Odet]
  • A. Iolanta
    Iolanta is a one-act lyric opera by Pyotr Ilyich Tchaikovsky that tells the story of a blind princess who discovers sight and love.
  • B. Odile
    Odile is the seductive and deceptive Black Swan character in the ballet "Swan Lake," often portrayed as the antagonist and foil to the virtuous Odette.
  • C. Salome
    Salome is a biblical and historical figure best known for her dance before Herod Antipas that led to the beheading of John the Baptist.
  • D. Le Cygne
    Le Cygne is a historic guildhouse and notable restaurant located on Brussels’ Grand Place, known for its ornate façade and cultural significance.
  • E. Malena
    Malena is a feminine given name, commonly used in various cultures and often considered a diminutive or variant of names like Magdalena.
  • 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: Odet
Triple: [Odet de Coligny, givenName, Odet]
Generated description
Odet is a given name most notably borne by Odet de Coligny, a 16th-century French cardinal and prominent figure in the early French Reformation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Odet
Target entity description: Odet is a given name most notably borne by Odet de Coligny, a 16th-century French cardinal and prominent figure in the early French Reformation.
  • A. Iolanta
    Iolanta is a one-act lyric opera by Pyotr Ilyich Tchaikovsky that tells the story of a blind princess who discovers sight and love.
  • B. Odile
    Odile is the seductive and deceptive Black Swan character in the ballet "Swan Lake," often portrayed as the antagonist and foil to the virtuous Odette.
  • C. Salome
    Salome is a biblical and historical figure best known for her dance before Herod Antipas that led to the beheading of John the Baptist.
  • D. Le Cygne
    Le Cygne is a historic guildhouse and notable restaurant located on Brussels’ Grand Place, known for its ornate façade and cultural significance.
  • E. Malena
    Malena is a feminine given name, commonly used in various cultures and often considered a diminutive or variant of names like Magdalena.
  • 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_69c68a5f04188190ac266569c9280347 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f24f6b7c81908cb61395239d03a0 completed March 27, 2026, 9:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8110b6ffc819080f65c590f6ac156 completed March 28, 2026, 5:34 p.m.
NEDg Description generation batch_69c811c9c5e48190a610d890780c7aa4 completed March 28, 2026, 5:37 p.m.
NED2 Entity disambiguation (via description) batch_69c8128e49948190822787e76b1663a6 completed March 28, 2026, 5:40 p.m.
Created at: March 27, 2026, 3:10 p.m.