Triple

T9354603
Position Surface form Disambiguated ID Type / Status
Subject Marc-Antoine Charpentier E225104 entity
Predicate givenName P17 FINISHED
Object Marc-Antoine
Marc-Antoine is a French masculine given name historically borne by notable figures such as the Baroque composer Marc-Antoine Charpentier.
 E793370 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: Marc-Antoine | Statement: [Marc-Antoine Charpentier, givenName, Marc-Antoine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marc-Antoine
Context triple: [Marc-Antoine Charpentier, givenName, Marc-Antoine]
  • A. Ludovic
    Ludovic is a masculine given name, used in various European languages, that is etymologically related to the name Ludwig.
  • B. Maxime
    Maxime is a French given name commonly used for males, derived from the Latin name Maximus meaning "greatest."
  • C. Maxence
    Maxence is a given name of French origin, used as a variant of the name Max.
  • D. Barthélemy
    Barthélemy is the given name of Barthélemy Catherine Joubert, a French general who served during the Revolutionary Wars.
  • E. Philippe
    Philippe is a common French male given name, historically associated with kings, nobles, and notable public figures in France and other Francophone countries.
  • 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: Marc-Antoine
Triple: [Marc-Antoine Charpentier, givenName, Marc-Antoine]
Generated description
Marc-Antoine is a French masculine given name historically borne by notable figures such as the Baroque composer Marc-Antoine Charpentier.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marc-Antoine
Target entity description: Marc-Antoine is a French masculine given name historically borne by notable figures such as the Baroque composer Marc-Antoine Charpentier.
  • A. Ludovic
    Ludovic is a masculine given name, used in various European languages, that is etymologically related to the name Ludwig.
  • B. Maxime
    Maxime is a French given name commonly used for males, derived from the Latin name Maximus meaning "greatest."
  • C. Maxence
    Maxence is a given name of French origin, used as a variant of the name Max.
  • D. Barthélemy
    Barthélemy is the given name of Barthélemy Catherine Joubert, a French general who served during the Revolutionary Wars.
  • E. Philippe
    Philippe is a common French male given name, historically associated with kings, nobles, and notable public figures in France and other Francophone countries.
  • 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_69ca842abfd48190949d71c3b86eeba8 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4f96c9a8819091bf63909bdcdf91 completed April 1, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e458a24881909a032553ce8a45fe completed April 4, 2026, 10:13 a.m.
NEDg Description generation batch_69d0e5760c0c8190b01a36772cea3058 completed April 4, 2026, 10:18 a.m.
NED2 Entity disambiguation (via description) batch_69d0e616d350819086465c7e491b6e62 completed April 4, 2026, 10:21 a.m.
Created at: March 30, 2026, 7:42 p.m.