Triple

T12526957
Position Surface form Disambiguated ID Type / Status
Subject Emil Victor Langlet E299464 entity
Predicate familyName P18 FINISHED
Object Langlet
Langlet is a Swedish surname most notably borne by architect Emil Victor Langlet, known for designing the Swedish Parliament House in Stockholm.
 E997093 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: Langlet | Statement: [Emil Victor Langlet, familyName, Langlet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Langlet
Context triple: [Emil Victor Langlet, familyName, Langlet]
  • A. Longueau
    Longueau is a commune in northern France that forms part of the suburban area of Amiens in the Somme department.
  • B. Vauvert
    Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
  • C. Glavieux
    Glavieux is a French surname most notably associated with Alain Glavieux, a prominent engineer known for his contributions to error-correcting codes.
  • D. Marloie
    Marloie is a village in the Walloon region of Belgium known for its railway station on the Brussels–Luxembourg line.
  • E. Taradeau
    Taradeau is a small commune in the Var department of southeastern France, known for its Provençal countryside, vineyards, and proximity to the Massif des Maures.
  • 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: Langlet
Triple: [Emil Victor Langlet, familyName, Langlet]
Generated description
Langlet is a Swedish surname most notably borne by architect Emil Victor Langlet, known for designing the Swedish Parliament House in Stockholm.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Langlet
Target entity description: Langlet is a Swedish surname most notably borne by architect Emil Victor Langlet, known for designing the Swedish Parliament House in Stockholm.
  • A. Longueau
    Longueau is a commune in northern France that forms part of the suburban area of Amiens in the Somme department.
  • B. Vauvert
    Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
  • C. Glavieux
    Glavieux is a French surname most notably associated with Alain Glavieux, a prominent engineer known for his contributions to error-correcting codes.
  • D. Marloie
    Marloie is a village in the Walloon region of Belgium known for its railway station on the Brussels–Luxembourg line.
  • E. Taradeau
    Taradeau is a small commune in the Var department of southeastern France, known for its Provençal countryside, vineyards, and proximity to the Massif des Maures.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9545d7e6c819080c3a85c18caa1ae completed April 10, 2026, 7:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6718cd6288190ad080f469f334caf completed May 2, 2026, 9:50 p.m.
NEDg Description generation batch_69f67285019c8190be831d3f72cf121f completed May 2, 2026, 9:54 p.m.
NED2 Entity disambiguation (via description) batch_69f67323a724819092425cdb3a070b96 completed May 2, 2026, 9:56 p.m.
Created at: April 8, 2026, 9:57 p.m.