Triple

T3406534
Position Surface form Disambiguated ID Type / Status
Subject Tyne Daly E71785 entity
Predicate father P120 FINISHED
Object James Daly
James Daly was an American actor known for his work in television and film during the mid-20th century, including roles on series like "Medical Center."
E355869 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: James Daly | Statement: [Tyne Daly, father, James Daly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Daly
Context triple: [Tyne Daly, father, James Daly]
  • A. James Dougherty
    James Dougherty was an American police officer best known as the first husband of Marilyn Monroe before she became a famous actress.
  • B. Ed Walsh
    Ed Walsh was a dominant early 20th-century Major League Baseball pitcher, best known as a Hall of Famer and one of the greatest spitball pitchers in history.
  • 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. Edward Daly
    Edward Daly was an Irish Catholic priest and later Bishop of Derry, widely recognized for his compassionate and courageous role during the 1972 Bloody Sunday shootings in Northern Ireland.
  • 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: James Daly
Triple: [Tyne Daly, father, James Daly]
Generated description
James Daly was an American actor known for his work in television and film during the mid-20th century, including roles on series like "Medical Center."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: James Daly
Target entity description: James Daly was an American actor known for his work in television and film during the mid-20th century, including roles on series like "Medical Center."
  • A. James Dougherty
    James Dougherty was an American police officer best known as the first husband of Marilyn Monroe before she became a famous actress.
  • B. Ed Walsh
    Ed Walsh was a dominant early 20th-century Major League Baseball pitcher, best known as a Hall of Famer and one of the greatest spitball pitchers in history.
  • 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. Edward Daly
    Edward Daly was an Irish Catholic priest and later Bishop of Derry, widely recognized for his compassionate and courageous role during the 1972 Bloody Sunday shootings in Northern Ireland.
  • 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_69ad85aac4808190a092c9cc8911f584 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb8ec68c88190913df5f6cafad9e9 completed March 8, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bd8c0ec8190bd44d33fc031c845 completed March 12, 2026, 11:27 p.m.
NEDg Description generation batch_69b34fbd85f081908dc7121e7f68a838 completed March 12, 2026, 11:43 p.m.
NED2 Entity disambiguation (via description) batch_69b350f1d2988190990417816bf5f028 completed March 12, 2026, 11:49 p.m.
Created at: March 8, 2026, 3:15 p.m.