Triple
T2498248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arthur Penn |
E52401
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Peggy Maurer
Peggy Maurer is best known as the wife of acclaimed American film and theater director Arthur Penn.
|
E271758
|
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: Peggy Maurer | Statement: [Arthur Penn, spouse, Peggy Maurer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peggy Maurer Context triple: [Arthur Penn, spouse, Peggy Maurer]
-
A.
Jane K. Sather
Jane K. Sather was a prominent philanthropist and benefactor of the University of California, Berkeley, whose donations funded several iconic campus landmarks.
-
B.
Cynthia Dall
Cynthia Dall was an American singer-songwriter and photographer known for her lo-fi indie work and collaborations with Bill Callahan of Smog.
-
C.
Linda Pizzuti Henry
Linda Pizzuti Henry is an American businesswoman and media executive, known for her leadership role at The Boston Globe and involvement in Fenway Sports Group.
-
D.
Diane Bemus Patrick
Diane Bemus Patrick is an American attorney and mental health advocate best known as the wife of former Massachusetts governor Deval Patrick.
-
E.
Nancy Shevell
Nancy Shevell is an American businesswoman and heiress best known for her long-term relationship and marriage to musician Paul McCartney.
- 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: Peggy Maurer Triple: [Arthur Penn, spouse, Peggy Maurer]
Generated description
Peggy Maurer is best known as the wife of acclaimed American film and theater director Arthur Penn.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peggy Maurer Target entity description: Peggy Maurer is best known as the wife of acclaimed American film and theater director Arthur Penn.
-
A.
Jane K. Sather
Jane K. Sather was a prominent philanthropist and benefactor of the University of California, Berkeley, whose donations funded several iconic campus landmarks.
-
B.
Cynthia Dall
Cynthia Dall was an American singer-songwriter and photographer known for her lo-fi indie work and collaborations with Bill Callahan of Smog.
-
C.
Linda Pizzuti Henry
Linda Pizzuti Henry is an American businesswoman and media executive, known for her leadership role at The Boston Globe and involvement in Fenway Sports Group.
-
D.
Diane Bemus Patrick
Diane Bemus Patrick is an American attorney and mental health advocate best known as the wife of former Massachusetts governor Deval Patrick.
-
E.
Nancy Shevell
Nancy Shevell is an American businesswoman and heiress best known for her long-term relationship and marriage to musician Paul McCartney.
- 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_69ab4957b3a88190adf968ae0c1b931c |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd1ae9040819091b3ca5b98659e99 |
completed | March 7, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af1f9be594819099a03a2784691124 |
completed | March 9, 2026, 7:29 p.m. |
| NEDg | Description generation | batch_69af200e2db4819085851a45213edc89 |
completed | March 9, 2026, 7:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af208dfab081909d706aad8ff5f615 |
completed | March 9, 2026, 7:33 p.m. |
Created at: March 6, 2026, 9:46 p.m.