Triple

T12923317
Position Surface form Disambiguated ID Type / Status
Subject Burridge E309177 entity
Predicate hasVariantSpelling P457 FINISHED
Object Burrage
Burrage is a surname of English origin that serves as a variant spelling of the name Burridge.
 E309177 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: Burrage | Statement: [Burridge, hasVariantSpelling, Burrage]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Burrage
Context triple: [Burridge, hasVariantSpelling, Burrage]
  • A. Brander
    Brander is a minor character in Hector Berlioz’s dramatic legend "La damnation de Faust," known as one of Faust’s drinking companions in the tavern scenes.
  • B. Burridge
    Burridge is an English surname of likely locational origin, associated with various places and families in the United Kingdom.
  • C. Burrell Boom
    Burrell Boom is a riverside village in Belize known historically as a logwood and mahogany trading point and now as a quiet rural community and gateway to nearby wildlife and river tours.
  • D. Bullom
    Bullom is a lesser-known Atlantic language spoken by the Bullom people along the coastal regions of Sierra Leone.
  • E. Ghilli
    Ghilli is a 2004 Tamil-language action film starring Vijay, widely known for its high-energy sports backdrop, mass appeal, and iconic songs.
  • 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: Burrage
Triple: [Burridge, hasVariantSpelling, Burrage]
Generated description
Burrage is a surname of English origin that serves as a variant spelling of the name Burridge.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Burrage
Target entity description: Burrage is a surname of English origin that serves as a variant spelling of the name Burridge.
  • A. Brander
    Brander is a minor character in Hector Berlioz’s dramatic legend "La damnation de Faust," known as one of Faust’s drinking companions in the tavern scenes.
  • B. Burridge chosen
    Burridge is an English surname of likely locational origin, associated with various places and families in the United Kingdom.
  • C. Burrell Boom
    Burrell Boom is a riverside village in Belize known historically as a logwood and mahogany trading point and now as a quiet rural community and gateway to nearby wildlife and river tours.
  • D. Bullom
    Bullom is a lesser-known Atlantic language spoken by the Bullom people along the coastal regions of Sierra Leone.
  • E. Ghilli
    Ghilli is a 2004 Tamil-language action film starring Vijay, widely known for its high-energy sports backdrop, mass appeal, and iconic songs.
  • F. None of above.

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_69d7bdfa933c8190b5a27aa4a08a19b7 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971e9576c81908eb59569af6da877 completed April 10, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af625af88190b036f97feaefe43b completed May 3, 2026, 2:13 a.m.
NEDg Description generation batch_69f6b0653ef88190ad0e3a48675ecdcc completed May 3, 2026, 2:18 a.m.
NED2 Entity disambiguation (via description) batch_69f6b1a539148190be7a4f16f738ca90 completed May 3, 2026, 2:23 a.m.
Created at: April 9, 2026, 5:42 p.m.