Triple

T18973633
Position Surface form Disambiguated ID Type / Status
Subject Mickey Shaughnessy E464234 entity
Predicate spouse P13 FINISHED
Object Sarah Shaughnessy
Sarah Shaughnessy is best known as the wife of American character actor and comedian Mickey Shaughnessy.
 E1381537 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: Sarah Shaughnessy | Statement: [Mickey Shaughnessy, spouse, Sarah Shaughnessy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sarah Shaughnessy
Context triple: [Mickey Shaughnessy, spouse, Sarah Shaughnessy]
  • A. Emma Bolger
    Emma Bolger is an Irish former child actress best known for her acclaimed role in the 2002 film "In America."
  • B. Mary Miller
    Mary Miller is an American art historian and archaeologist renowned for her scholarship on Mesoamerican, particularly Maya, art and culture.
  • C. Marianna Hill
    Marianna Hill is an American actress best known for her prolific work in 1960s and 1970s film and television, including notable roles in Westerns and cult classics.
  • D. Emily Dreyfuss
    Emily Dreyfuss is an American journalist and writer known for her work on technology, politics, and digital culture for outlets such as WIRED and the Harvard Shorenstein Center.
  • E. Katherine McAuliffe
    Katherine McAuliffe is a developmental psychologist known for her research on the emergence of fairness, cooperation, and moral reasoning in children across cultures.
  • 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: Sarah Shaughnessy
Triple: [Mickey Shaughnessy, spouse, Sarah Shaughnessy]
Generated description
Sarah Shaughnessy is best known as the wife of American character actor and comedian Mickey Shaughnessy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sarah Shaughnessy
Target entity description: Sarah Shaughnessy is best known as the wife of American character actor and comedian Mickey Shaughnessy.
  • A. Emma Bolger
    Emma Bolger is an Irish former child actress best known for her acclaimed role in the 2002 film "In America."
  • B. Mary Miller
    Mary Miller is an American art historian and archaeologist renowned for her scholarship on Mesoamerican, particularly Maya, art and culture.
  • C. Marianna Hill
    Marianna Hill is an American actress best known for her prolific work in 1960s and 1970s film and television, including notable roles in Westerns and cult classics.
  • D. Emily Dreyfuss
    Emily Dreyfuss is an American journalist and writer known for her work on technology, politics, and digital culture for outlets such as WIRED and the Harvard Shorenstein Center.
  • E. Katherine McAuliffe
    Katherine McAuliffe is a developmental psychologist known for her research on the emergence of fairness, cooperation, and moral reasoning in children across cultures.
  • 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_69d8dd008af48190a97ff1c6488edf1b completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d61d7728819096f0baea75658a6a completed April 20, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a074e614d3081909260cfd7d26ee5df completed May 15, 2026, 4:48 p.m.
NEDg Description generation batch_6a074f0534608190bebba043babdbc8b completed May 15, 2026, 4:51 p.m.
NED2 Entity disambiguation (via description) batch_6a074fbaca3c8190a34dbb6fd4ed1844 completed May 15, 2026, 4:54 p.m.
Created at: April 10, 2026, noon