Triple

T21781462
Position Surface form Disambiguated ID Type / Status
Subject Varanus E537722 entity
Predicate authority P1330 FINISHED
Object Merrem
Merrem was a German naturalist and zoologist known for his influential early 19th-century work on the classification of reptiles and amphibians.
 E1501471 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: Merrem | Statement: [Varanus, authority, Merrem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Merrem
Context triple: [Varanus, authority, Merrem]
  • A. Heustreu
    Heustreu is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany, known for its rural character and location near the Rhön Mountains.
  • B. Madaurus
    Madaurus was an ancient Roman-Berber city in North Africa, noted as a provincial cultural and educational center.
  • C. Rodemack
    Rodemack is a historic fortified village in northeastern France, renowned for its well-preserved medieval ramparts and picturesque old town.
  • D. Régiolis
    Régiolis is a family of modern, modular multiple-unit regional trains built by Alstom for France’s TER networks, designed for improved comfort, efficiency, and accessibility.
  • E. Erment
    Erment is the ancient name of Armant, an important archaeological and historical site in Upper Egypt known for its temples and relics from the Pharaonic period.
  • 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: Merrem
Triple: [Varanus, authority, Merrem]
Generated description
Merrem was a German naturalist and zoologist known for his influential early 19th-century work on the classification of reptiles and amphibians.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Merrem
Target entity description: Merrem was a German naturalist and zoologist known for his influential early 19th-century work on the classification of reptiles and amphibians.
  • A. Heustreu
    Heustreu is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany, known for its rural character and location near the Rhön Mountains.
  • B. Madaurus
    Madaurus was an ancient Roman-Berber city in North Africa, noted as a provincial cultural and educational center.
  • C. Rodemack
    Rodemack is a historic fortified village in northeastern France, renowned for its well-preserved medieval ramparts and picturesque old town.
  • D. Régiolis
    Régiolis is a family of modern, modular multiple-unit regional trains built by Alstom for France’s TER networks, designed for improved comfort, efficiency, and accessibility.
  • E. Erment
    Erment is the ancient name of Armant, an important archaeological and historical site in Upper Egypt known for its temples and relics from the Pharaonic period.
  • 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_69e0c47198f881908cb0d237266c10e9 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0462db0208190ad31c132d3f875bc completed April 28, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a368226208190814c639e3eefc9b2 completed May 17, 2026, 9:43 p.m.
NEDg Description generation batch_6a0a375bce908190b7d1433c4ac500c9 completed May 17, 2026, 9:47 p.m.
NED2 Entity disambiguation (via description) batch_6a0a37e0bed48190b0319d62eaff5d1e completed May 17, 2026, 9:49 p.m.
Created at: April 16, 2026, 6:52 p.m.