Triple
T9952618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scott Pelley |
E195365
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Jane Boone Pelley
Jane Boone Pelley is an American former television reporter and producer best known as the wife of longtime CBS journalist Scott Pelley.
|
E830213
|
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: Jane Boone Pelley | Statement: [Scott Pelley, spouse, Jane Boone Pelley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jane Boone Pelley Context triple: [Scott Pelley, spouse, Jane Boone Pelley]
-
A.
Sally Mulroney
Sally Mulroney is a member of the Mulroney family, known primarily in relation to Clyde Mulroney.
-
B.
Emma Ferguson
Emma Ferguson is a Scottish actress and the wife of Take That singer Mark Owen.
-
C.
Jean Ross
Jean Ross was a British journalist, political activist, and writer best known as the real-life inspiration for the character Sally Bowles in Christopher Isherwood’s Berlin Stories.
-
D.
Patricia Murray
Patricia Murray is known as the spouse of American glass artist and sculptor Dan Dailey.
-
E.
Elizabeth Chetwood
Elizabeth Chetwood was the wife of Aaron Ogden, a prominent early American politician and governor of New Jersey.
- 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: Jane Boone Pelley Triple: [Scott Pelley, spouse, Jane Boone Pelley]
Generated description
Jane Boone Pelley is an American former television reporter and producer best known as the wife of longtime CBS journalist Scott Pelley.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jane Boone Pelley Target entity description: Jane Boone Pelley is an American former television reporter and producer best known as the wife of longtime CBS journalist Scott Pelley.
-
A.
Sally Mulroney
Sally Mulroney is a member of the Mulroney family, known primarily in relation to Clyde Mulroney.
-
B.
Emma Ferguson
Emma Ferguson is a Scottish actress and the wife of Take That singer Mark Owen.
-
C.
Jean Ross
Jean Ross was a British journalist, political activist, and writer best known as the real-life inspiration for the character Sally Bowles in Christopher Isherwood’s Berlin Stories.
-
D.
Patricia Murray
Patricia Murray is known as the spouse of American glass artist and sculptor Dan Dailey.
-
E.
Elizabeth Chetwood
Elizabeth Chetwood was the wife of Aaron Ogden, a prominent early American politician and governor of New Jersey.
- 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_69ca82e96a108190932bd1fc4acd73a0 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb693918081908e9f96ef302235ad |
completed | April 2, 2026, 12:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2293dc93881908aff4cb3640c0edf |
completed | April 5, 2026, 9:19 a.m. |
| NEDg | Description generation | batch_69d229b3b200819083aa90f64eaec9e8 |
completed | April 5, 2026, 9:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d22a2d14fc8190b2493ce571811d43 |
completed | April 5, 2026, 9:23 a.m. |
Created at: March 30, 2026, 8:46 p.m.