Triple

T13038964
Position Surface form Disambiguated ID Type / Status
Subject Minamoto no Yoshitomo E326637 entity
Predicate child P120 FINISHED
Object Gien
Gien was a historical Japanese figure known primarily as one of the sons of the samurai leader Minamoto no Yoshitomo.
 E1017157 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: Gien | Statement: [Minamoto no Yoshitomo, child, Gien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gien
Context triple: [Minamoto no Yoshitomo, child, Gien]
  • A. Gien
    Gien is a commune in north-central France known for its historic faience (earthenware) production and its location along the Loire River.
  • B. Sainte-Ode
    Sainte-Ode is a rural municipality in the Walloon region of Belgium, known for its forests, farmland, and small villages in Luxembourg Province.
  • C. Liévin
    Liévin is a commune in the Pas-de-Calais department in northern France, historically linked to coal mining and now part of the Lens–Liévin urban area.
  • D. Narsdorf
    Narsdorf is a small locality in eastern Germany that forms part of the wider Leipzig metropolitan area.
  • E. Gerland
    Gerland is a district in the 7th arrondissement of Lyon, France, known for its former stadium, biotechnology and research centers, and mixed residential-industrial character.
  • 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: Gien
Triple: [Minamoto no Yoshitomo, child, Gien]
Generated description
Gien was a historical Japanese figure known primarily as one of the sons of the samurai leader Minamoto no Yoshitomo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gien
Target entity description: Gien was a historical Japanese figure known primarily as one of the sons of the samurai leader Minamoto no Yoshitomo.
  • A. Gien
    Gien is a commune in north-central France known for its historic faience (earthenware) production and its location along the Loire River.
  • B. Sainte-Ode
    Sainte-Ode is a rural municipality in the Walloon region of Belgium, known for its forests, farmland, and small villages in Luxembourg Province.
  • C. Liévin
    Liévin is a commune in the Pas-de-Calais department in northern France, historically linked to coal mining and now part of the Lens–Liévin urban area.
  • D. Narsdorf
    Narsdorf is a small locality in eastern Germany that forms part of the wider Leipzig metropolitan area.
  • E. Gerland
    Gerland is a district in the 7th arrondissement of Lyon, France, known for its former stadium, biotechnology and research centers, and mixed residential-industrial character.
  • 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_69d8076cc45c81908123123f43e69266 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d9804d8e3081909584c93df099859a completed April 10, 2026, 10:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbd2f6a481909fdd418e7ad3cc22 completed May 3, 2026, 4:15 a.m.
NEDg Description generation batch_69f6cd0d21e08190855dcbee000fc25d completed May 3, 2026, 4:20 a.m.
NED2 Entity disambiguation (via description) batch_69f6ce6b220c8190b1f49a9b2bfce692 completed May 3, 2026, 4:26 a.m.
Created at: April 9, 2026, 8:55 p.m.