Triple

T19545379
Position Surface form Disambiguated ID Type / Status
Subject Peter Maas E489032 entity
Predicate familyName P18 FINISHED
Object Maas
Maas is a surname of Dutch and German origin borne by various notable individuals across fields such as journalism, sports, and the arts.
 E1387341 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: Maas | Statement: [Peter Maas, familyName, Maas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maas
Context triple: [Peter Maas, familyName, Maas]
  • A. Maas
    The Maas, also known as the Meuse, is a major European river flowing through France, Belgium, and the Netherlands before emptying into the North Sea.
  • B. Maas River
    The Maas River is a major European waterway flowing through France, Belgium, and the Netherlands, known for its historical role in trade and its extensive delta in the Low Countries.
  • C. Lange river
    The Lange river is a small watercourse in eastern France that flows through the town of Oyonnax in the Ain department.
  • D. Vis River
    The Vis River is a scenic watercourse in southern France known for its clear waters, gorges, and karst landscapes in the Cévennes region.
  • E. Om River
    The Om River is a river in southwestern Siberia, Russia, that flows through the Omsk region before joining the Irtysh River.
  • 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: Maas
Triple: [Peter Maas, familyName, Maas]
Generated description
Maas is a surname of Dutch and German origin borne by various notable individuals across fields such as journalism, sports, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maas
Target entity description: Maas is a surname of Dutch and German origin borne by various notable individuals across fields such as journalism, sports, and the arts.
  • A. Maas
    The Maas, also known as the Meuse, is a major European river flowing through France, Belgium, and the Netherlands before emptying into the North Sea.
  • B. Maas River
    The Maas River is a major European waterway flowing through France, Belgium, and the Netherlands, known for its historical role in trade and its extensive delta in the Low Countries.
  • C. Lange river
    The Lange river is a small watercourse in eastern France that flows through the town of Oyonnax in the Ain department.
  • D. Vis River
    The Vis River is a scenic watercourse in southern France known for its clear waters, gorges, and karst landscapes in the Cévennes region.
  • E. Om River
    The Om River is a river in southwestern Siberia, Russia, that flows through the Omsk region before joining the Irtysh River.
  • 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63876bacc8190b17e2087de679785 completed April 20, 2026, 2:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0771a3a8a481909bb246db0c1fb823 completed May 15, 2026, 7:18 p.m.
NEDg Description generation batch_6a07789e58088190af2ac8d8026199a1 completed May 15, 2026, 7:48 p.m.
NED2 Entity disambiguation (via description) batch_6a0779531e248190ba43935e1f70fc5c completed May 15, 2026, 7:51 p.m.
Created at: April 10, 2026, 1:41 p.m.