Triple

T2608863
Position Surface form Disambiguated ID Type / Status
Subject Sauer E58726 entity
Predicate hasVariant P455 FINISHED
Object Saur
Saur is a variant form of the surname "Sauer," typically of German origin.
 E282481 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: Saur | Statement: [Sauer, hasVariant, Saur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Saur
Context triple: [Sauer, hasVariant, Saur]
  • A. Rasor
    Rasor is a comic servant character in John Vanbrugh’s Restoration comedy play "The Provoked Wife."
  • B. Xerus
    Xerus is a genus of African ground squirrels known for their diurnal, social behavior and adaptation to open, arid habitats.
  • C. Smargadus
    Smargadus was the exarch of Ravenna who commissioned the Column of Phocas in the Roman Forum in the early 7th century.
  • D. Lion-Mher
    Lion-Mher is a heroic figure from the Armenian epic cycle "Daredevils of Sassoun," renowned for his extraordinary strength and lion-like bravery.
  • E. Tarasque
    The Tarasque is a legendary dragon-like monster from Provençal folklore, famously tamed by Saint Martha and associated with the town of Tarascon in southern France.
  • 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: Saur
Triple: [Sauer, hasVariant, Saur]
Generated description
Saur is a variant form of the surname "Sauer," typically of German origin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Saur
Target entity description: Saur is a variant form of the surname "Sauer," typically of German origin.
  • A. Rasor
    Rasor is a comic servant character in John Vanbrugh’s Restoration comedy play "The Provoked Wife."
  • B. Xerus
    Xerus is a genus of African ground squirrels known for their diurnal, social behavior and adaptation to open, arid habitats.
  • C. Smargadus
    Smargadus was the exarch of Ravenna who commissioned the Column of Phocas in the Roman Forum in the early 7th century.
  • D. Lion-Mher
    Lion-Mher is a heroic figure from the Armenian epic cycle "Daredevils of Sassoun," renowned for his extraordinary strength and lion-like bravery.
  • E. Tarasque
    The Tarasque is a legendary dragon-like monster from Provençal folklore, famously tamed by Saint Martha and associated with the town of Tarascon in southern France.
  • 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_69ab4ac3523881909679750c9f8c2dec completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd868acc481909444c99a621cdbec completed March 7, 2026, 7:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69af83e1efb88190b79c2c6ac0e87647 completed March 10, 2026, 2:37 a.m.
NEDg Description generation batch_69af84a15b5c8190bb68b6ff313adb6c completed March 10, 2026, 2:40 a.m.
NED2 Entity disambiguation (via description) batch_69af85aa5f548190a4ce1a4ff38ca5e3 completed March 10, 2026, 2:44 a.m.
Created at: March 6, 2026, 9:49 p.m.