Triple

T2774199
Position Surface form Disambiguated ID Type / Status
Subject Brent Scowcroft E61529 entity
Predicate givenName P17 FINISHED
Object Brent
Brent is a masculine given name of Old English origin, commonly used in English-speaking countries.
 E298322 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: Brent | Statement: [Brent Scowcroft, givenName, Brent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Brent
Context triple: [Brent Scowcroft, givenName, Brent]
  • A. Brent
    Brent is a London borough in northwest London, known for landmarks such as Wembley Stadium and its diverse residential communities.
  • B. Petro
    Petro is a common Ukrainian male given name, notably borne by former Ukrainian president Petro Poroshenko.
  • C. Emex
    Emex is a small genus of flowering plants in the knotweed family Polygonaceae, commonly known for weedy species such as Emex spinosa (spiny emex) found in disturbed and agricultural areas.
  • D. Karby
    Karby is a locality within Vallentuna Municipality in Stockholm County, Sweden.
  • E. Oker
    The Oker is a river in central Germany that flows northward from the Harz Mountains through Lower Saxony before joining the Aller.
  • 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: Brent
Triple: [Brent Scowcroft, givenName, Brent]
Generated description
Brent is a masculine given name of Old English origin, commonly used in English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Brent
Target entity description: Brent is a masculine given name of Old English origin, commonly used in English-speaking countries.
  • A. Brent
    Brent is a London borough in northwest London, known for landmarks such as Wembley Stadium and its diverse residential communities.
  • B. Petro
    Petro is a common Ukrainian male given name, notably borne by former Ukrainian president Petro Poroshenko.
  • C. Emex
    Emex is a small genus of flowering plants in the knotweed family Polygonaceae, commonly known for weedy species such as Emex spinosa (spiny emex) found in disturbed and agricultural areas.
  • D. Karby
    Karby is a locality within Vallentuna Municipality in Stockholm County, Sweden.
  • E. Oker
    The Oker is a river in central Germany that flows northward from the Harz Mountains through Lower Saxony before joining the Aller.
  • 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_69ab4b7cd13481909174bca9809ed259 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd7e29e08190921fd4ac9d0679ec completed March 7, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc0553588819098d478b4aaa18478 completed March 10, 2026, 6:55 a.m.
NEDg Description generation batch_69afc1c74ecc8190ba8b9926ff28f24e completed March 10, 2026, 7:01 a.m.
NED2 Entity disambiguation (via description) batch_69afc2d5aecc81909ce90a7e891568c9 completed March 10, 2026, 7:05 a.m.
Created at: March 6, 2026, 9:57 p.m.