Triple

T12336005
Position Surface form Disambiguated ID Type / Status
Subject Siege of Waterford E294086 entity
Predicate defendedBy P957 FINISHED
Object Richard Farrell
Richard Farrell was a military leader known for commanding the defense of Waterford during a notable siege in Irish history.
E977617 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: Richard Farrell | Statement: [Siege of Waterford, defendedBy, Richard Farrell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Farrell
Context triple: [Siege of Waterford, defendedBy, Richard Farrell]
  • A. Jack Gaffigan
    Jack Gaffigan is one of the children of American comedian Jim Gaffigan and actress-producer Jeanne Louise Gaffigan.
  • B. Graham Crowden
    Graham Crowden was a British character actor known for his eccentric, often darkly comic roles in film and television, including notable performances in works like "If....", "A Very Peculiar Practice", and "Waiting for God."
  • C. Tony McMahon
    Tony McMahon is a writer best known for co-authoring the autobiography of British boxer Errol Christie.
  • D. David Haig
    David Haig is a British actor and playwright known for his work in film, television, and theatre, including roles in comedies and period dramas.
  • E. Craig Herring
    Craig Herring is a film editor best known for his work on the comedy crime film "Analyze This."
  • 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: Richard Farrell
Triple: [Siege of Waterford, defendedBy, Richard Farrell]
Generated description
Richard Farrell was a military leader known for commanding the defense of Waterford during a notable siege in Irish history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Richard Farrell
Target entity description: Richard Farrell was a military leader known for commanding the defense of Waterford during a notable siege in Irish history.
  • A. Jack Gaffigan
    Jack Gaffigan is one of the children of American comedian Jim Gaffigan and actress-producer Jeanne Louise Gaffigan.
  • B. Graham Crowden
    Graham Crowden was a British character actor known for his eccentric, often darkly comic roles in film and television, including notable performances in works like "If....", "A Very Peculiar Practice", and "Waiting for God."
  • C. Tony McMahon
    Tony McMahon is a writer best known for co-authoring the autobiography of British boxer Errol Christie.
  • D. David Haig
    David Haig is a British actor and playwright known for his work in film, television, and theatre, including roles in comedies and period dramas.
  • E. Craig Herring
    Craig Herring is a film editor best known for his work on the comedy crime film "Analyze This."
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f6683e881908920e1fee02a14e3 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62aa5f21c8190bcb32a078a2f7ebb completed May 2, 2026, 4:47 p.m.
NEDg Description generation batch_69f62c54e6b08190bdae0ec35cc1c48d completed May 2, 2026, 4:54 p.m.
NED2 Entity disambiguation (via description) batch_69f62d0c2568819083e66c8ae484d30d completed May 2, 2026, 4:57 p.m.
Created at: April 8, 2026, 9:53 p.m.