Triple

T15022748
Position Surface form Disambiguated ID Type / Status
Subject Aymer de Valence E378126 entity
Predicate givenName P17 FINISHED
Object Aymer
Aymer is a masculine given name of Old French origin that was historically borne by medieval European nobles and clerics.
 E1134110 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: Aymer | Statement: [Aymer de Valence, givenName, Aymer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aymer
Context triple: [Aymer de Valence, givenName, Aymer]
  • A. Arlay
    Arlay is a historic locality in eastern France that served as the principal seat of the noble House of Chalon-Arlay.
  • B. Valleiry
    Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
  • C. Samoreau
    Samoreau is a small commune in the Seine-et-Marne department in north-central France, situated near the Seine River and known for its quiet residential character.
  • D. Lechmere
    Lechmere is a Massachusetts Bay Transportation Authority (MBTA) light rail station in Cambridge, Massachusetts, serving the Green Line.
  • E. Damsay
    Damsay is a small uninhabited island in the Orkney archipelago of Scotland, known for its low-lying terrain and archaeological remains.
  • 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: Aymer
Triple: [Aymer de Valence, givenName, Aymer]
Generated description
Aymer is a masculine given name of Old French origin that was historically borne by medieval European nobles and clerics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aymer
Target entity description: Aymer is a masculine given name of Old French origin that was historically borne by medieval European nobles and clerics.
  • A. Arlay
    Arlay is a historic locality in eastern France that served as the principal seat of the noble House of Chalon-Arlay.
  • B. Valleiry
    Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
  • C. Samoreau
    Samoreau is a small commune in the Seine-et-Marne department in north-central France, situated near the Seine River and known for its quiet residential character.
  • D. Lechmere
    Lechmere is a Massachusetts Bay Transportation Authority (MBTA) light rail station in Cambridge, Massachusetts, serving the Green Line.
  • E. Damsay
    Damsay is a small uninhabited island in the Orkney archipelago of Scotland, known for its low-lying terrain and archaeological remains.
  • 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded765462c819097f331c9b39c80e3 completed April 15, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dd2c96c8190a0368678584aaa16 completed May 9, 2026, 2:37 a.m.
NEDg Description generation batch_69fea0c35b088190abf578ed016753cd completed May 9, 2026, 2:49 a.m.
NED2 Entity disambiguation (via description) batch_69fea16b16b8819080b31203189f8cfe completed May 9, 2026, 2:52 a.m.
Created at: April 10, 2026, 2:56 a.m.