Triple

T12643412
Position Surface form Disambiguated ID Type / Status
Subject Countess Emma Luana of Orange-Nassau E301956 entity
Predicate middleName P143 FINISHED
Object Ninette
Ninette is a middle name of Countess Emma Luana of Orange-Nassau, a member of the Dutch royal family.
E996354 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: Ninette | Statement: [Countess Emma Luana of Orange-Nassau, middleName, Ninette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ninette
Context triple: [Countess Emma Luana of Orange-Nassau, middleName, Ninette]
  • A. Gisèle
    Gisèle is a feminine given name of French origin, commonly used in Francophone countries and beyond.
  • B. Madame Leota
    Madame Leota is a disembodied, ghostly medium whose talking head in a crystal ball delivers eerie incantations in Disney’s Haunted Mansion attraction.
  • C. Petipa
    Petipa is a renowned surname most famously associated with Marius Petipa, the influential 19th-century ballet master and choreographer of the Imperial Russian Ballet.
  • D. 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.
  • E. Odile
    Odile is the shy, enigmatic young woman who becomes entangled with two small-time crooks in Jean-Luc Godard’s 1964 French New Wave film "Bande à part."
  • 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: Ninette
Triple: [Countess Emma Luana of Orange-Nassau, middleName, Ninette]
Generated description
Ninette is a middle name of Countess Emma Luana of Orange-Nassau, a member of the Dutch royal family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ninette
Target entity description: Ninette is a middle name of Countess Emma Luana of Orange-Nassau, a member of the Dutch royal family.
  • A. Gisèle
    Gisèle is a feminine given name of French origin, commonly used in Francophone countries and beyond.
  • B. Madame Leota
    Madame Leota is a disembodied, ghostly medium whose talking head in a crystal ball delivers eerie incantations in Disney’s Haunted Mansion attraction.
  • C. Petipa
    Petipa is a renowned surname most famously associated with Marius Petipa, the influential 19th-century ballet master and choreographer of the Imperial Russian Ballet.
  • D. 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.
  • E. Odile
    Odile is the shy, enigmatic young woman who becomes entangled with two small-time crooks in Jean-Luc Godard’s 1964 French New Wave film "Bande à part."
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9614bf2f881909976becdf747f4fb completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6687770388190b4777885dae8a38f completed May 2, 2026, 9:11 p.m.
NEDg Description generation batch_69f669f69fe4819097dfc63780e8587e completed May 2, 2026, 9:17 p.m.
NED2 Entity disambiguation (via description) batch_69f66b619c88819098acbfb60fac9921 completed May 2, 2026, 9:23 p.m.
Created at: April 9, 2026, 5:17 p.m.