Triple

T17983335
Position Surface form Disambiguated ID Type / Status
Subject McGill E430160 entity
Predicate hasNotableBearer P458 FINISHED
Object Brian McGill
Brian McGill is an ecologist and professor known for his research on macroecology, biodiversity patterns, and global environmental change.
E1300017 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: Brian McGill | Statement: [McGill, hasNotableBearer, Brian McGill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brian McGill
Context triple: [McGill, hasNotableBearer, Brian McGill]
  • A. Todd McKinnon
    Todd McKinnon is an American technology executive and entrepreneur best known as the co-founder and longtime CEO of identity and access management company Okta.
  • B. Michael Suski
    Michael Suski is a writer known for his work associated with the musical project Selah.
  • C. Brett McBain
    Brett McBain is a fictional Irish farmer and widower in Sergio Leone’s Western film "Once Upon a Time in the West," whose murder sets the story’s central revenge plot in motion.
  • D. Craig Sweeny
    Craig Sweeny is an American television writer and producer known for his work on series such as "Elementary" and "Limitless."
  • E. Brett Meyer
    Brett Meyer is a relatively obscure individual whose name is shared with multiple people, including professionals in fields such as sports and academia.
  • 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: Brian McGill
Triple: [McGill, hasNotableBearer, Brian McGill]
Generated description
Brian McGill is an ecologist and professor known for his research on macroecology, biodiversity patterns, and global environmental change.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Brian McGill
Target entity description: Brian McGill is an ecologist and professor known for his research on macroecology, biodiversity patterns, and global environmental change.
  • A. Todd McKinnon
    Todd McKinnon is an American technology executive and entrepreneur best known as the co-founder and longtime CEO of identity and access management company Okta.
  • B. Michael Suski
    Michael Suski is a writer known for his work associated with the musical project Selah.
  • C. Brett McBain
    Brett McBain is a fictional Irish farmer and widower in Sergio Leone’s Western film "Once Upon a Time in the West," whose murder sets the story’s central revenge plot in motion.
  • D. Craig Sweeny
    Craig Sweeny is an American television writer and producer known for his work on series such as "Elementary" and "Limitless."
  • E. Brett Meyer
    Brett Meyer is a relatively obscure individual whose name is shared with multiple people, including professionals in fields such as sports and academia.
  • 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_69d8b90364248190a37381adea932f42 completed April 10, 2026, 8:46 a.m.
NER Named-entity recognition batch_69e4b2992fe481908c0d2757b4de5bad completed April 19, 2026, 10:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0337a70d808190a86d49ee85adf4c5 completed May 12, 2026, 2:22 p.m.
NEDg Description generation batch_6a033ca5e4c08190b7de8ab2d4fb8e3b completed May 12, 2026, 2:43 p.m.
NED2 Entity disambiguation (via description) batch_6a033daf5b948190926f2925b8e3cc84 completed May 12, 2026, 2:48 p.m.
Created at: April 10, 2026, 10:23 a.m.