Triple

T5267339
Position Surface form Disambiguated ID Type / Status
Subject Marquis de Duquesne E118969 entity
Predicate givenName P17 FINISHED
Object Ange
Ange is a French given name, historically borne by figures such as the Marquis de Duquesne and associated with French nobility and military leadership.
 E507506 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: Ange | Statement: [Marquis de Duquesne, givenName, Ange]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ange
Context triple: [Marquis de Duquesne, givenName, Ange]
  • A. Annang
    Annang is a prominent ethnic group in southeastern Nigeria, known for its rich cultural heritage, language, and traditions, particularly within Akwa Ibom State.
  • B. Antal
    Antal is a Hungarian given name most notably borne by the renowned conductor and composer Antal Doráti.
  • C. Angi
    Angi is a digital marketplace that connects homeowners with local contractors and service professionals for home improvement and repair projects.
  • D. Anat
    Anat is a prominent Canaanite war and fertility goddess known for her fierce martial prowess and protective role in the ancient Levantine pantheon.
  • E. Angela
    "Angela" is a 1995 independent drama film written and directed by Rebecca Miller, exploring the inner world and imagination of a troubled young girl.
  • 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: Ange
Triple: [Marquis de Duquesne, givenName, Ange]
Generated description
Ange is a French given name, historically borne by figures such as the Marquis de Duquesne and associated with French nobility and military leadership.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ange
Target entity description: Ange is a French given name, historically borne by figures such as the Marquis de Duquesne and associated with French nobility and military leadership.
  • A. Annang
    Annang is a prominent ethnic group in southeastern Nigeria, known for its rich cultural heritage, language, and traditions, particularly within Akwa Ibom State.
  • B. Antal
    Antal is a Hungarian given name most notably borne by the renowned conductor and composer Antal Doráti.
  • C. Angi
    Angi is a digital marketplace that connects homeowners with local contractors and service professionals for home improvement and repair projects.
  • D. Anat
    Anat is a prominent Canaanite war and fertility goddess known for her fierce martial prowess and protective role in the ancient Levantine pantheon.
  • E. Angela
    "Angela" is a 1995 independent drama film written and directed by Rebecca Miller, exploring the inner world and imagination of a troubled young girl.
  • 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_69bd446a42c88190b7ecbef006561d55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7bfc3f288190b128777caaad2275 completed March 20, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe8e5c948190a807a99bd35f710d completed March 21, 2026, 8:24 p.m.
NEDg Description generation batch_69beff3029dc8190b4dc5e207a2bfa03 completed March 21, 2026, 8:27 p.m.
NED2 Entity disambiguation (via description) batch_69befffc0e388190a02624d4f466a2a9 completed March 21, 2026, 8:30 p.m.
Created at: March 20, 2026, 1:51 p.m.