Triple

T15059445
Position Surface form Disambiguated ID Type / Status
Subject Flood E379585 entity
Predicate hasNotableBearer P458 FINISHED
Object Brian Flood
Brian Flood is a former Irish footballer best known for playing as a defender with Shamrock Rovers during the 1980s and early 1990s.
E1139579 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 Flood | Statement: [Flood, hasNotableBearer, Brian Flood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brian Flood
Context triple: [Flood, hasNotableBearer, Brian Flood]
  • A. Tony Flood
    Tony Flood is a notable individual recognized for achievements significant enough to be associated with the surname Flood.
  • B. Brendan Flood
    Brendan Flood is a British businessman best known for his involvement in football club ownership and property development.
  • C. Brian Flanagan
    Brian Flanagan is a fictional bartender and main character from the 1988 film "Cocktail," portrayed by Tom Cruise.
  • D. Dan Fagan
    Dan Fagan is a notable individual recognized for achievements associated with the surname Fagan.
  • E. Kevin Flanagan
    Kevin Flanagan is a personal name shared by multiple individuals, including professionals and public figures in various 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: Brian Flood
Triple: [Flood, hasNotableBearer, Brian Flood]
Generated description
Brian Flood is a former Irish footballer best known for playing as a defender with Shamrock Rovers during the 1980s and early 1990s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Brian Flood
Target entity description: Brian Flood is a former Irish footballer best known for playing as a defender with Shamrock Rovers during the 1980s and early 1990s.
  • A. Tony Flood
    Tony Flood is a notable individual recognized for achievements significant enough to be associated with the surname Flood.
  • B. Brendan Flood
    Brendan Flood is a British businessman best known for his involvement in football club ownership and property development.
  • C. Brian Flanagan
    Brian Flanagan is a fictional bartender and main character from the 1988 film "Cocktail," portrayed by Tom Cruise.
  • D. Dan Fagan
    Dan Fagan is a notable individual recognized for achievements associated with the surname Fagan.
  • E. Kevin Flanagan
    Kevin Flanagan is a personal name shared by multiple individuals, including professionals and public figures in various 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dedee50afc8190bf7b0f4bbe8c60a3 completed April 15, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69febfdc8f64819083c7e3510e671b9a completed May 9, 2026, 5:02 a.m.
NEDg Description generation batch_69fec11a80a48190809775d712eb6399 completed May 9, 2026, 5:07 a.m.
NED2 Entity disambiguation (via description) batch_69fec1822c28819082f473f573669099 completed May 9, 2026, 5:09 a.m.
Created at: April 10, 2026, 3:01 a.m.