Triple

T2886935
Position Surface form Disambiguated ID Type / Status
Subject Honoré Daumet E59528 entity
Predicate familyName P18 FINISHED
Object Daumet
Daumet is a French surname most notably borne by Honoré Daumet, a prominent 19th-century architect.
 E306844 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: Daumet | Statement: [Honoré Daumet, familyName, Daumet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Daumet
Context triple: [Honoré Daumet, familyName, Daumet]
  • A. Marsum
    Marsum is a small village in the northern Netherlands, located in the province of Groningen within the municipality of Eemsdelta.
  • B. Mora
    Mora is a surname of Hungarian origin most notably borne by the German-Hungarian writer Terézia Mora.
  • C. Thann
    Thann is a small historic town in northeastern France, located at the foot of the Vosges mountains in the Haut-Rhin department of Alsace.
  • D. Boden
    Boden is a northern Swedish town known for its strategic military significance and large army garrison.
  • E. Erathem
    An erathem is a formal chronostratigraphic unit representing the rock layers deposited during a corresponding geologic era in Earth’s history.
  • 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: Daumet
Triple: [Honoré Daumet, familyName, Daumet]
Generated description
Daumet is a French surname most notably borne by Honoré Daumet, a prominent 19th-century architect.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Daumet
Target entity description: Daumet is a French surname most notably borne by Honoré Daumet, a prominent 19th-century architect.
  • A. Marsum
    Marsum is a small village in the northern Netherlands, located in the province of Groningen within the municipality of Eemsdelta.
  • B. Mora
    Mora is a surname of Hungarian origin most notably borne by the German-Hungarian writer Terézia Mora.
  • C. Thann
    Thann is a small historic town in northeastern France, located at the foot of the Vosges mountains in the Haut-Rhin department of Alsace.
  • D. Boden
    Boden is a northern Swedish town known for its strategic military significance and large army garrison.
  • E. Erathem
    An erathem is a formal chronostratigraphic unit representing the rock layers deposited during a corresponding geologic era in Earth’s history.
  • 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_69ab4ac739188190a112f42a5a69c951 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abe0463ccc8190bf08330f40d0cfdc completed March 7, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69b031713e14819098db4cfaaea74f73 completed March 10, 2026, 2:57 p.m.
NEDg Description generation batch_69b0332021048190a846847e17ccf6f2 completed March 10, 2026, 3:05 p.m.
NED2 Entity disambiguation (via description) batch_69b0340e559081909e06d5383eca3019 completed March 10, 2026, 3:09 p.m.
Created at: March 6, 2026, 10:03 p.m.