Triple
T2228109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kip Thorne |
E48699
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Linda Jean Peterson (divorced)
Linda Jean Peterson is the former wife of Nobel Prize–winning theoretical physicist Kip Thorne.
|
E244854
|
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: Linda Jean Peterson (divorced) | Statement: [Kip Thorne, spouse, Linda Jean Peterson (divorced)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linda Jean Peterson (divorced) Context triple: [Kip Thorne, spouse, Linda Jean Peterson (divorced)]
-
A.
Susan Brown (divorced)
Susan Brown is the former wife of American businessman and former New York City mayor Michael Bloomberg.
-
B.
Darlene Pratt
Darlene Pratt was the wife of pioneering stop-motion animator and special effects artist Willis H. O’Brien.
-
C.
Linda Arvidson
Linda Arvidson was an early American silent film actress and writer, best known for her work in pioneering films of the 1900s and her association with director D. W. Griffith.
-
D.
Jane McIntosh (divorced)
Jane McIntosh is best known as the former wife of English lyricist and author Tim Rice.
-
E.
Melinda Rogers
Melinda Rogers is a Canadian business executive and member of the Rogers family, known for her leadership roles within Rogers Communications.
- 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: Linda Jean Peterson (divorced) Triple: [Kip Thorne, spouse, Linda Jean Peterson (divorced)]
Generated description
Linda Jean Peterson is the former wife of Nobel Prize–winning theoretical physicist Kip Thorne.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Linda Jean Peterson (divorced) Target entity description: Linda Jean Peterson is the former wife of Nobel Prize–winning theoretical physicist Kip Thorne.
-
A.
Susan Brown (divorced)
Susan Brown is the former wife of American businessman and former New York City mayor Michael Bloomberg.
-
B.
Darlene Pratt
Darlene Pratt was the wife of pioneering stop-motion animator and special effects artist Willis H. O’Brien.
-
C.
Linda Arvidson
Linda Arvidson was an early American silent film actress and writer, best known for her work in pioneering films of the 1900s and her association with director D. W. Griffith.
-
D.
Jane McIntosh (divorced)
Jane McIntosh is best known as the former wife of English lyricist and author Tim Rice.
-
E.
Melinda Rogers
Melinda Rogers is a Canadian business executive and member of the Rogers family, known for her leadership roles within Rogers Communications.
- 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_69a88aa51b388190949868ec9766e587 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0670ce48190b98814064bff0517 |
completed | March 7, 2026, 6:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6567b64c8190ab718f20bbf033df |
completed | March 9, 2026, 6:15 a.m. |
| NEDg | Description generation | batch_69ae666bd32c81909ff15201757a6c76 |
completed | March 9, 2026, 6:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae66d8ba688190a2102c00fc6231c4 |
completed | March 9, 2026, 6:21 a.m. |
Created at: March 4, 2026, 7:47 p.m.