Triple

T27282112
Position Surface form Disambiguated ID Type / Status
Subject Lord of Lambesc E688361 entity
Predicate hasTitleNameInFrench P15390 FINISHED
Object seigneur de Lambesc
Seigneur de Lambesc is a historical French noble title associated with the lords who ruled or held dominion over the area of Lambesc in Provence.
 E1766860 NE FINISHED

How this triple was built (3 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: seigneur de Lambesc | Statement: [Lord of Lambesc, hasTitleNameInFrench, seigneur de Lambesc]
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: seigneur de Lambesc
Triple: [Lord of Lambesc, hasTitleNameInFrench, seigneur de Lambesc]
Generated description
Seigneur de Lambesc is a historical French noble title associated with the lords who ruled or held dominion over the area of Lambesc in Provence.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasTitleNameInFrench
Context triple: [Lord of Lambesc, hasTitleNameInFrench, seigneur de Lambesc]
  • A. equivalentTitleInFrench
    Indicates that one entity’s title is the equivalent or corresponding title of another entity, specifically expressed in French.
  • B. hasTitleInLanguage chosen
    Indicates that an entity has a specific title expressed in a particular language.
  • C. hasTitleInEnglishOrthography
    Indicates that an entity has a specific title expressed using English spelling and writing conventions.
  • D. nameInFrench
    Indicates that an entity is known or referred to by a specific name expressed in the French language.
  • E. hasTitleInGerman
    Indicates that an entity has a specific title or name expressed in the German language.
  • F. None of above.

Provenance (6 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_69ef355998e08190bdff849e8f33adce completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f6b903538481909cffcb6cc1cc0e70 completed May 3, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a129ca3d3088190bdb2078fc6ab9a07 completed May 24, 2026, 6:37 a.m.
NEDg Description generation batch_6a129da51ce08190b85045a3d378c25f completed May 24, 2026, 6:41 a.m.
NED2 Entity disambiguation (via description) batch_6a129e3138ac8190acdda9aff6f9fc88 completed May 24, 2026, 6:44 a.m.
PD Predicate disambiguation batch_69f6b626120c819097c9ad04487570d7 completed May 3, 2026, 2:42 a.m.
Created at: April 27, 2026, 11:08 a.m.