Triple

T9871500
Position Surface form Disambiguated ID Type / Status
Subject Charles the Fat E239966 entity
Predicate mother P120 FINISHED
Object Hemma
Hemma was a 9th-century Frankish noblewoman of the Carolingian dynasty, best known as the mother of Emperor Charles the Fat.
 E826908 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: Hemma | Statement: [Charles the Fat, mother, Hemma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hemma
Context triple: [Charles the Fat, mother, Hemma]
  • A. Hemkade
    Hemkade is a waterfront area near Amsterdam known for its industrial setting and event venues, accessible via the city's ferry network.
  • B. Demme
    Demme is the surname of Jonathan Demme, the acclaimed American film director known for works such as "The Silence of the Lambs" and "Philadelphia."
  • C. Emmen
    Emmen is a major town and economic center in the northeastern Netherlands, known for its modern urban layout and attractions such as the Wildlands Adventure Zoo.
  • D. Emme
    Emme is a river in Switzerland that flows through the canton of Bern and is a tributary of the Aare.
  • E. Emmavail
    Emmavail is a person whose given name is Emmavail, known in full as Emmavail Luce.
  • 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: Hemma
Triple: [Charles the Fat, mother, Hemma]
Generated description
Hemma was a 9th-century Frankish noblewoman of the Carolingian dynasty, best known as the mother of Emperor Charles the Fat.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hemma
Target entity description: Hemma was a 9th-century Frankish noblewoman of the Carolingian dynasty, best known as the mother of Emperor Charles the Fat.
  • A. Hemkade
    Hemkade is a waterfront area near Amsterdam known for its industrial setting and event venues, accessible via the city's ferry network.
  • B. Demme
    Demme is the surname of Jonathan Demme, the acclaimed American film director known for works such as "The Silence of the Lambs" and "Philadelphia."
  • C. Emmen
    Emmen is a major town and economic center in the northeastern Netherlands, known for its modern urban layout and attractions such as the Wildlands Adventure Zoo.
  • D. Emme
    Emme is a river in Switzerland that flows through the canton of Bern and is a tributary of the Aare.
  • E. Emmavail
    Emmavail is a person whose given name is Emmavail, known in full as Emmavail Luce.
  • 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_69ca84e7506c819095cbde4ff16512bb completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3f5cc948190b03186b867c92229 completed April 2, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e468630c81908d5c72f70e2c6fe4 completed April 5, 2026, 4:26 a.m.
NEDg Description generation batch_69d1e5a99e4081909f5712a264e1b495 completed April 5, 2026, 4:31 a.m.
NED2 Entity disambiguation (via description) batch_69d1e62c0638819091c7eb9b09ce20aa completed April 5, 2026, 4:33 a.m.
Created at: March 30, 2026, 8:36 p.m.