Triple

T11749763
Position Surface form Disambiguated ID Type / Status
Subject Kemmu era E279374 entity
Predicate precedes P97 FINISHED
Object Engen era
The Engen era was a Japanese historical period name (nengō) used by the Southern Court during the Nanboku-chō period in the early 14th century.
E944858 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: Engen era | Statement: [Kemmu era, precedes, Engen era]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Engen era
Context triple: [Kemmu era, precedes, Engen era]
  • A. Engen
    Engen is a surname of Norwegian origin borne by various notable individuals across fields such as aviation, sports, and public service.
  • B. Erfe
    Erfe is the surname of Elaine Mendoza Erfe, best known as the wife of American comedian Dave Chappelle.
  • C. Enenga
    Enenga is a dialect of the Myene language spoken by communities in Gabon.
  • D. Ernman
    Ernman is the surname of Swedish opera singer and environmental activist Malena Ernman.
  • E. Geer
    Geer is a surname most notably associated with American actress and theatre director Ellen Geer and her family of performers.
  • 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: Engen era
Triple: [Kemmu era, precedes, Engen era]
Generated description
The Engen era was a Japanese historical period name (nengō) used by the Southern Court during the Nanboku-chō period in the early 14th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Engen era
Target entity description: The Engen era was a Japanese historical period name (nengō) used by the Southern Court during the Nanboku-chō period in the early 14th century.
  • A. Engen
    Engen is a surname of Norwegian origin borne by various notable individuals across fields such as aviation, sports, and public service.
  • B. Erfe
    Erfe is the surname of Elaine Mendoza Erfe, best known as the wife of American comedian Dave Chappelle.
  • C. Enenga
    Enenga is a dialect of the Myene language spoken by communities in Gabon.
  • D. Ernman
    Ernman is the surname of Swedish opera singer and environmental activist Malena Ernman.
  • E. Geer
    Geer is a surname most notably associated with American actress and theatre director Ellen Geer and her family of performers.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a508b0c4819082fbcc27d559ea2f completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f01a0492b48190b6f2e3cf36b4f537 completed April 28, 2026, 2:23 a.m.
NEDg Description generation batch_69f0319622c48190bee6c906f08c0a8c completed April 28, 2026, 4:03 a.m.
NED2 Entity disambiguation (via description) batch_69f05ad36e4c8190b7239e5b33713369 completed April 28, 2026, 6:59 a.m.
Created at: April 8, 2026, 9:41 p.m.