Triple

T6776114
Position Surface form Disambiguated ID Type / Status
Subject Ségolène Royal E155158 entity
Predicate familyName P18 FINISHED
Object Royal
Royal is a French surname most prominently associated with politician Ségolène Royal, a leading figure in contemporary French public life.
 E618260 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: Royal | Statement: [Ségolène Royal, familyName, Royal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Royal
Context triple: [Ségolène Royal, familyName, Royal]
  • A. Regal
    Regal is a major American movie theater chain known for operating multiplex cinemas across the United States.
  • B. Royal Highness
    "Royal Highness" is a formal style used to address or refer to certain members of a royal family, typically princes and princesses, signifying high but not sovereign rank.
  • C. Royal Crown
    Royal Crown is the original full name of the RC Cola soft drink brand, a historic American cola introduced in the early 20th century as a competitor to Coca-Cola and Pepsi.
  • D. Royal Crown
    The Royal Crown is a traditional symbol of monarchy and sovereign authority, often used in heraldry to represent the reigning monarch’s power and legitimacy.
  • E. Majesty
    Majesty is a formal honorific style used to address or refer to a reigning monarch, typically a king or queen.
  • 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: Royal
Triple: [Ségolène Royal, familyName, Royal]
Generated description
Royal is a French surname most prominently associated with politician Ségolène Royal, a leading figure in contemporary French public life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Royal
Target entity description: Royal is a French surname most prominently associated with politician Ségolène Royal, a leading figure in contemporary French public life.
  • A. Regal
    Regal is a major American movie theater chain known for operating multiplex cinemas across the United States.
  • B. Royal Highness
    "Royal Highness" is a formal style used to address or refer to certain members of a royal family, typically princes and princesses, signifying high but not sovereign rank.
  • C. Royal Crown
    Royal Crown is the original full name of the RC Cola soft drink brand, a historic American cola introduced in the early 20th century as a competitor to Coca-Cola and Pepsi.
  • D. Royal Crown
    The Royal Crown is a traditional symbol of monarchy and sovereign authority, often used in heraldry to represent the reigning monarch’s power and legitimacy.
  • E. Majesty
    Majesty is a formal honorific style used to address or refer to a reigning monarch, typically a king or queen.
  • 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_69c68812ef7c819099369f51febb725c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d24f77c88190be21cf4ef132aa31 completed March 27, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712cc9ff08190bb7ec0bf4cc4db01 completed March 27, 2026, 11:29 p.m.
NEDg Description generation batch_69c71396f1f88190b3316e694424a2fe completed March 27, 2026, 11:32 p.m.
NED2 Entity disambiguation (via description) batch_69c71466728c81909a24174a7938b43a completed March 27, 2026, 11:36 p.m.
Created at: March 27, 2026, 2:13 p.m.