Triple

T17164393
Position Surface form Disambiguated ID Type / Status
Subject Enric Sagnier E416568 entity
Predicate familyName P18 FINISHED
Object Sagnier
Sagnier is a Catalan surname most notably associated with Enric Sagnier, a prolific modernist architect from Barcelona.
 E1254081 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: Sagnier | Statement: [Enric Sagnier, familyName, Sagnier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sagnier
Context triple: [Enric Sagnier, familyName, Sagnier]
  • A. Sorvilier
    Sorvilier is a small municipality in the French-speaking Bernese Jura region of the canton of Bern in Switzerland.
  • B. Gagnière
    Gagnière is a French surname, likely of regional origin, associated with individuals such as Mahoudeau.
  • C. Tergnier
    Tergnier is a commune in northern France known historically as a significant railway junction and industrial town in the Aisne department.
  • D. Tanguy
    Tanguy is a French surname most notably associated with Yves Tanguy, a prominent 20th-century Surrealist painter.
  • E. Raguil
    Raguil is an alternative spelling of Raguel, a traditional archangel name found in various Judeo-Christian angelologies.
  • 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: Sagnier
Triple: [Enric Sagnier, familyName, Sagnier]
Generated description
Sagnier is a Catalan surname most notably associated with Enric Sagnier, a prolific modernist architect from Barcelona.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sagnier
Target entity description: Sagnier is a Catalan surname most notably associated with Enric Sagnier, a prolific modernist architect from Barcelona.
  • A. Sorvilier
    Sorvilier is a small municipality in the French-speaking Bernese Jura region of the canton of Bern in Switzerland.
  • B. Gagnière
    Gagnière is a French surname, likely of regional origin, associated with individuals such as Mahoudeau.
  • C. Tergnier
    Tergnier is a commune in northern France known historically as a significant railway junction and industrial town in the Aisne department.
  • D. Tanguy
    Tanguy is a French surname most notably associated with Yves Tanguy, a prominent 20th-century Surrealist painter.
  • E. Raguil
    Raguil is an alternative spelling of Raguel, a traditional archangel name found in various Judeo-Christian angelologies.
  • 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_69d886d279c081909f8ff1f743ddeb69 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f913c84481908bb5da8bcc6a2e62 completed April 18, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01483b827081909619ea691c4c0e1e completed May 11, 2026, 3:08 a.m.
NEDg Description generation batch_6a014a2f8fec8190b1303967a76ceb63 completed May 11, 2026, 3:17 a.m.
NED2 Entity disambiguation (via description) batch_6a014ab0be388190a6ce49cff469fe81 completed May 11, 2026, 3:19 a.m.
Created at: April 10, 2026, 5:37 a.m.