Triple

T20188464
Position Surface form Disambiguated ID Type / Status
Subject de Loménie de Brienne E492923 entity
Predicate hasFamilyName P18 FINISHED
Object Loménie
Loménie is a French noble family name historically associated with influential political and ecclesiastical figures, including the statesman Cardinal de Loménie de Brienne.
 E1417011 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: Loménie | Statement: [de Loménie de Brienne, hasFamilyName, Loménie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Loménie
Context triple: [de Loménie de Brienne, hasFamilyName, Loménie]
  • A. Doumea
    Doumea is a genus of small African catfishes in the family Amphiliidae, typically found in fast-flowing freshwater streams and rivers.
  • B. Gochenée
    Gochenée is a small village in Wallonia, Belgium, known primarily as the birthplace of the 19th-century architect Alphonse Balat.
  • C. Lombe
    Lombe is a city located in the Indonesian province of Southeast Sulawesi.
  • D. Gouais
    Gouais is an ancient white wine grape variety historically important as a parent of many classic European grape cultivars.
  • E. Mialet
    Mialet is a commune in the Gard department of southern France, known for its scenic Cévennes landscape and proximity to notable caves and natural attractions.
  • 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: Loménie
Triple: [de Loménie de Brienne, hasFamilyName, Loménie]
Generated description
Loménie is a French noble family name historically associated with influential political and ecclesiastical figures, including the statesman Cardinal de Loménie de Brienne.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Loménie
Target entity description: Loménie is a French noble family name historically associated with influential political and ecclesiastical figures, including the statesman Cardinal de Loménie de Brienne.
  • A. Doumea
    Doumea is a genus of small African catfishes in the family Amphiliidae, typically found in fast-flowing freshwater streams and rivers.
  • B. Gochenée
    Gochenée is a small village in Wallonia, Belgium, known primarily as the birthplace of the 19th-century architect Alphonse Balat.
  • C. Lombe
    Lombe is a city located in the Indonesian province of Southeast Sulawesi.
  • D. Gouais
    Gouais is an ancient white wine grape variety historically important as a parent of many classic European grape cultivars.
  • E. Mialet
    Mialet is a commune in the Gard department of southern France, known for its scenic Cévennes landscape and proximity to notable caves and natural attractions.
  • 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66ad2c43c8190a2fc5ef2a0514e53 completed April 20, 2026, 6:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a083c83f250819091828379318bf0a2 completed May 16, 2026, 9:44 a.m.
NEDg Description generation batch_6a083de4745c819093c2eeba0c9bfa19 completed May 16, 2026, 9:50 a.m.
NED2 Entity disambiguation (via description) batch_6a083f2d7db081908c281445210f551b completed May 16, 2026, 9:55 a.m.
Created at: April 11, 2026, 11:37 p.m.