Triple

T9567822
Position Surface form Disambiguated ID Type / Status
Subject Duggan E230832 entity
Predicate hasNotableBearer P458 FINISHED
Object Sean Duggan
Sean Duggan is a notable individual distinguished enough in his field or public life to be specifically recognized as a bearer of the surname Duggan.
E835556 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: Sean Duggan | Statement: [Duggan, hasNotableBearer, Sean Duggan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sean Duggan
Context triple: [Duggan, hasNotableBearer, Sean Duggan]
  • A. John Duggan
    John Duggan is a notable individual distinguished enough in his field or public life to be specifically recognized as a bearer of the Duggan surname.
  • B. Luke Doolan
    Luke Doolan is an Australian film editor and filmmaker best known for his work on acclaimed films such as "Animal Kingdom."
  • C. Andrew Duggan
    Andrew Duggan was an American character actor known for his prolific work in film and television from the 1950s through the 1980s.
  • D. Lawrence Duggan
    Lawrence Duggan was a mid-20th-century American diplomat who served in the U.S. State Department and was later controversially alleged to have engaged in espionage for the Soviet Union.
  • E. Pat Duggan
    Pat Duggan is a film producer known for work on classic Hollywood productions such as the 1953 comedy-drama "Forever Female."
  • 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: Sean Duggan
Triple: [Duggan, hasNotableBearer, Sean Duggan]
Generated description
Sean Duggan is a notable individual distinguished enough in his field or public life to be specifically recognized as a bearer of the surname Duggan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sean Duggan
Target entity description: Sean Duggan is a notable individual distinguished enough in his field or public life to be specifically recognized as a bearer of the surname Duggan.
  • A. John Duggan
    John Duggan is a notable individual distinguished enough in his field or public life to be specifically recognized as a bearer of the Duggan surname.
  • B. Luke Doolan
    Luke Doolan is an Australian film editor and filmmaker best known for his work on acclaimed films such as "Animal Kingdom."
  • C. Andrew Duggan
    Andrew Duggan was an American character actor known for his prolific work in film and television from the 1950s through the 1980s.
  • D. Lawrence Duggan
    Lawrence Duggan was a mid-20th-century American diplomat who served in the U.S. State Department and was later controversially alleged to have engaged in espionage for the Soviet Union.
  • E. Pat Duggan
    Pat Duggan is a film producer known for work on classic Hollywood productions such as the 1953 comedy-drama "Forever Female."
  • 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_69ca847f22188190a56e4a97625bef22 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9987cb0c8190af32a1193de54890 completed April 1, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d269858f648190a9c3b730d37ecf9c completed April 5, 2026, 1:54 p.m.
NEDg Description generation batch_69d26b3e1b948190a76cf7ad91a1e0a5 completed April 5, 2026, 2:01 p.m.
NED2 Entity disambiguation (via description) batch_69d26c0c9ee88190867f8531e9ffbf27 completed April 5, 2026, 2:05 p.m.
Created at: March 30, 2026, 8:04 p.m.