Triple

T4238789
Position Surface form Disambiguated ID Type / Status
Subject Robert Bunsen E94759 entity
Predicate familyName P18 FINISHED
Object Bunsen
Bunsen is a German surname most famously associated with chemist Robert Bunsen, co-developer of the Bunsen burner.
E423506 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: Bunsen | Statement: [Robert Bunsen, familyName, Bunsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bunsen
Context triple: [Robert Bunsen, familyName, Bunsen]
  • A. Beaker
    Beaker is a high-strung, squeaky-voiced lab assistant from The Muppets, known for his nervous demeanor and frequent mishaps in scientific experiments.
  • B. Elster
    Elster is a river in central Europe, primarily flowing through the German state of Saxony and its surrounding regions.
  • C. Memmert
    Memmert is a small, uninhabited German North Sea island known primarily as a protected nature reserve and bird sanctuary.
  • D. Matheson
    Matheson is a surname of Scottish origin borne by various notable individuals, including acclaimed American writer Richard Matheson.
  • E. Shannon Blowtorch
    Shannon Blowtorch is a Minneapolis-based DJ and producer known for her work in the local music scene and collaborations with various indie and hip-hop artists.
  • 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: Bunsen
Triple: [Robert Bunsen, familyName, Bunsen]
Generated description
Bunsen is a German surname most famously associated with chemist Robert Bunsen, co-developer of the Bunsen burner.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bunsen
Target entity description: Bunsen is a German surname most famously associated with chemist Robert Bunsen, co-developer of the Bunsen burner.
  • A. Beaker
    Beaker is a high-strung, squeaky-voiced lab assistant from The Muppets, known for his nervous demeanor and frequent mishaps in scientific experiments.
  • B. Elster
    Elster is a river in central Europe, primarily flowing through the German state of Saxony and its surrounding regions.
  • C. Memmert
    Memmert is a small, uninhabited German North Sea island known primarily as a protected nature reserve and bird sanctuary.
  • D. Matheson
    Matheson is a surname of Scottish origin borne by various notable individuals, including acclaimed American writer Richard Matheson.
  • E. Shannon Blowtorch
    Shannon Blowtorch is a Minneapolis-based DJ and producer known for her work in the local music scene and collaborations with various indie and hip-hop artists.
  • 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_69b34537cc6481909cd0a96acbb33ef7 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e76b6e0819084d0ce137b5ba74e completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a86c95008190b11832c741a11042 completed March 14, 2026, 6:26 p.m.
NEDg Description generation batch_69b5a983cfd88190b702c420d6dbc201 completed March 14, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69b5aa00bcd88190ad2fba212861c712 completed March 14, 2026, 6:33 p.m.
Created at: March 12, 2026, 11:05 p.m.