Triple

T2692916
Position Surface form Disambiguated ID Type / Status
Subject Durkan E58445 entity
Predicate hasNotableBearer P458 FINISHED
Object Tom Durkan
Tom Durkan is a notable individual recognized for his association with the Durkan name, likely distinguished in a professional or public capacity.
 E289961 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: Tom Durkan | Statement: [Durkan, hasNotableBearer, Tom Durkan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tom Durkan
Context triple: [Durkan, hasNotableBearer, Tom Durkan]
  • A. Andrew Duggan
    Andrew Duggan was an American character actor known for his prolific work in film and television from the 1950s through the 1980s.
  • B. Martin Duggan
    Martin Duggan was a prominent 19th-century St. Louis journalist and editor known for his influential role in the city's early press.
  • C. Jack McManus
    Jack McManus is a British singer-songwriter and musician known for his work in pop and adult contemporary music and for his marriage to actress and singer Martine McCutcheon.
  • D. Jack McHale
    Jack McHale is a relatively obscure individual known primarily as a namesake referenced in records of notable bearers of the surname McHale.
  • E. Sean Maguire
    Sean Maguire is the compassionate, tough-minded therapist and widowed professor who mentors Will Hunting in the film "Good Will Hunting."
  • 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: Tom Durkan
Triple: [Durkan, hasNotableBearer, Tom Durkan]
Generated description
Tom Durkan is a notable individual recognized for his association with the Durkan name, likely distinguished in a professional or public capacity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tom Durkan
Target entity description: Tom Durkan is a notable individual recognized for his association with the Durkan name, likely distinguished in a professional or public capacity.
  • A. Andrew Duggan
    Andrew Duggan was an American character actor known for his prolific work in film and television from the 1950s through the 1980s.
  • B. Martin Duggan
    Martin Duggan was a prominent 19th-century St. Louis journalist and editor known for his influential role in the city's early press.
  • C. Jack McManus
    Jack McManus is a British singer-songwriter and musician known for his work in pop and adult contemporary music and for his marriage to actress and singer Martine McCutcheon.
  • D. Jack McHale
    Jack McHale is a relatively obscure individual known primarily as a namesake referenced in records of notable bearers of the surname McHale.
  • E. Sean Maguire
    Sean Maguire is the compassionate, tough-minded therapist and widowed professor who mentors Will Hunting in the film "Good Will Hunting."
  • 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_69ab4ac269e481909cb317d79e68b75b completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda0dd97c81909a60cf200f57c087 completed March 7, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf6501088190b8fe1ba8de4f6e00 completed March 10, 2026, 5:43 a.m.
NEDg Description generation batch_69afb039cdcc8190953368c1f6757503 completed March 10, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69afb0c27ee48190a319fd2fab02f755 completed March 10, 2026, 5:48 a.m.
Created at: March 6, 2026, 9:54 p.m.