Triple

T11333719
Position Surface form Disambiguated ID Type / Status
Subject Henri Le Sidaner E268413 entity
Predicate placeOfActivity P1527 FINISHED
Object Gerberoy
Gerberoy is a picturesque medieval village in northern France, renowned for its flower-filled streets and artistic heritage.
 E918226 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: Gerberoy | Statement: [Henri Le Sidaner, placeOfActivity, Gerberoy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gerberoy
Context triple: [Henri Le Sidaner, placeOfActivity, Gerberoy]
  • A. Gsell
    Gsell is a surname of Germanic origin borne by various notable individuals, including artists, scholars, and public figures.
  • B. Jebero
    Jebero is an indigenous Cahuapanan language spoken by a small community in the Peruvian Amazon.
  • C. Moberg
    Moberg is a Swedish surname most famously associated with Vilhelm Moberg, the renowned author of the "The Emigrants" series about Swedish migration to America.
  • D. Gerzen
    Gerzen is a small municipality in the Lower Bavarian region of southeastern Germany.
  • E. Geber
    Geber is the Latinized name of Jabir ibn Hayyan, a pioneering medieval Islamic alchemist often regarded as the father of early chemistry.
  • 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: Gerberoy
Triple: [Henri Le Sidaner, placeOfActivity, Gerberoy]
Generated description
Gerberoy is a picturesque medieval village in northern France, renowned for its flower-filled streets and artistic heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gerberoy
Target entity description: Gerberoy is a picturesque medieval village in northern France, renowned for its flower-filled streets and artistic heritage.
  • A. Gsell
    Gsell is a surname of Germanic origin borne by various notable individuals, including artists, scholars, and public figures.
  • B. Jebero
    Jebero is an indigenous Cahuapanan language spoken by a small community in the Peruvian Amazon.
  • C. Moberg
    Moberg is a Swedish surname most famously associated with Vilhelm Moberg, the renowned author of the "The Emigrants" series about Swedish migration to America.
  • D. Gerzen
    Gerzen is a small municipality in the Lower Bavarian region of southeastern Germany.
  • E. Geber
    Geber is the Latinized name of Jabir ibn Hayyan, a pioneering medieval Islamic alchemist often regarded as the father of early chemistry.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9fe5d5881908d786b212a554d8b completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5263160548190adb7d5c0fd6af0e2 completed April 19, 2026, 7 p.m.
NEDg Description generation batch_69e52c83768c819086ebfd870ad81998 completed April 19, 2026, 7:26 p.m.
NED2 Entity disambiguation (via description) batch_69e531d0ab5881909814160b86c8e76b completed April 19, 2026, 7:49 p.m.
Created at: April 8, 2026, 9:33 p.m.