Triple

T20167016
Position Surface form Disambiguated ID Type / Status
Subject Thomas G. Stemberg E491847 entity
Predicate spouse P13 FINISHED
Object Maureen Sullivan
Maureen Sullivan is known as the wife of the late Thomas G. Stemberg, the co-founder and longtime CEO of office-supplies retail giant Staples Inc.
E1461161 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: Maureen Sullivan | Statement: [Thomas G. Stemberg, spouse, Maureen Sullivan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maureen Sullivan
Context triple: [Thomas G. Stemberg, spouse, Maureen Sullivan]
  • A. Maureen Sweeney
    Maureen Sweeney is an Irish woman best known for her crucial World War II weather observations that influenced the timing of the D-Day landings.
  • B. Patricia Sweeney
    Patricia Sweeney is known as the wife of English actor and screenwriter Colin Welland.
  • C. Eileen Conn
    Eileen Conn is an American television writer and producer known for her work on various sitcoms and for being married to comedian and actor Larry Miller.
  • D. Maureen Starkey
    Maureen Starkey was the first wife of Beatles drummer Ringo Starr and a notable figure in the 1960s British music scene.
  • E. Marylouise Burke
    Marylouise Burke is an American character actress known for her work in film, television, and on Broadway, often portraying quirky, comedic supporting roles.
  • 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: Maureen Sullivan
Triple: [Thomas G. Stemberg, spouse, Maureen Sullivan]
Generated description
Maureen Sullivan is known as the wife of the late Thomas G. Stemberg, the co-founder and longtime CEO of office-supplies retail giant Staples Inc.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Maureen Sullivan
Target entity description: Maureen Sullivan is known as the wife of the late Thomas G. Stemberg, the co-founder and longtime CEO of office-supplies retail giant Staples Inc.
  • A. Maureen Sweeney
    Maureen Sweeney is an Irish woman best known for her crucial World War II weather observations that influenced the timing of the D-Day landings.
  • B. Patricia Sweeney
    Patricia Sweeney is known as the wife of English actor and screenwriter Colin Welland.
  • C. Eileen Conn
    Eileen Conn is an American television writer and producer known for her work on various sitcoms and for being married to comedian and actor Larry Miller.
  • D. Maureen Starkey
    Maureen Starkey was the first wife of Beatles drummer Ringo Starr and a notable figure in the 1960s British music scene.
  • E. Marylouise Burke
    Marylouise Burke is an American character actress known for her work in film, television, and on Broadway, often portraying quirky, comedic supporting roles.
  • 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66844e49081909b7e9ec2b65cc61d completed April 20, 2026, 5:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a092f9e7f188190b2a87c40d8fe55dc completed May 17, 2026, 3:01 a.m.
NEDg Description generation batch_6a09315ef2288190ae63098b44b2c403 completed May 17, 2026, 3:09 a.m.
NED2 Entity disambiguation (via description) batch_6a0931c67cfc8190a44e6de85764bbb2 completed May 17, 2026, 3:11 a.m.
Created at: April 11, 2026, 11:35 p.m.