Triple

T15319258
Position Surface form Disambiguated ID Type / Status
Subject Brown Field E366243 entity
Predicate namedAfter P63 FINISHED
Object Brown (surname)
Brown is a common English-language surname of British origin, typically derived from a nickname referring to hair color, complexion, or clothing.
 E1150423 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: Brown (surname) | Statement: [Brown Field, namedAfter, Brown (surname)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Brown (surname)
Context triple: [Brown Field, namedAfter, Brown (surname)]
  • A. Fitzpatrick (surname)
    Fitzpatrick is an Irish surname of Gaelic origin, historically associated with the Mac Giolla Phádraig clan of Ossory.
  • B. Miller (surname)
    Miller is a common occupational surname of English and Scottish origin, traditionally given to people who operated mills.
  • C. Bond (surname)
    Bond is an English-language surname, most famously associated with the fictional British secret agent James Bond created by author Ian Fleming.
  • D. Smith (surname)
    Smith is a common English occupational surname originally denoting a metalworker or blacksmith.
  • E. Howard (surname)
    Howard is an English-language surname of Anglo-Norman and sometimes Irish origin, borne by numerous notable figures in politics, entertainment, and other fields.
  • 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: Brown (surname)
Triple: [Brown Field, namedAfter, Brown (surname)]
Generated description
Brown is a common English-language surname of British origin, typically derived from a nickname referring to hair color, complexion, or clothing.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Brown (surname)
Target entity description: Brown is a common English-language surname of British origin, typically derived from a nickname referring to hair color, complexion, or clothing.
  • A. Fitzpatrick (surname)
    Fitzpatrick is an Irish surname of Gaelic origin, historically associated with the Mac Giolla Phádraig clan of Ossory.
  • B. Miller (surname)
    Miller is a common occupational surname of English and Scottish origin, traditionally given to people who operated mills.
  • C. Bond (surname)
    Bond is an English-language surname, most famously associated with the fictional British secret agent James Bond created by author Ian Fleming.
  • D. Smith (surname)
    Smith is a common English occupational surname originally denoting a metalworker or blacksmith.
  • E. Howard (surname)
    Howard is an English-language surname of Anglo-Norman and sometimes Irish origin, borne by numerous notable figures in politics, entertainment, and other fields.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03dd356b881908f054b64eee6a371 completed April 16, 2026, 1:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef8a9085881909904152c32b0fed1 completed May 9, 2026, 9:04 a.m.
NEDg Description generation batch_69fefc8251d08190bf8a764f83f89d7e completed May 9, 2026, 9:21 a.m.
NED2 Entity disambiguation (via description) batch_69fefd6c2bf88190b17a03be7b3353e3 completed May 9, 2026, 9:25 a.m.
Created at: April 10, 2026, 3:16 a.m.