Triple
T16732911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roger Tory Peterson |
E406635
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Virginia Marie Peterson
Virginia Marie Peterson was the wife of renowned American naturalist and field guide author Roger Tory Peterson.
|
E1355230
|
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: Virginia Marie Peterson | Statement: [Roger Tory Peterson, spouse, Virginia Marie Peterson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Virginia Marie Peterson Context triple: [Roger Tory Peterson, spouse, Virginia Marie Peterson]
-
A.
Linda Jean Peterson
Linda Jean Peterson is best known as the wife of Nobel Prize–winning theoretical physicist Kip Thorne.
-
B.
Elizabeth Peterson
Elizabeth Peterson is an actress known for her role in the fantasy action film "Avengers Grimm."
-
C.
Sally Peterson
Sally Peterson is known as the spouse of American investment banker and former U.S. Secretary of Commerce Peter G. Peterson.
-
D.
Dorothy Peterson
Dorothy Peterson was an American character actress active in the early to mid-20th century, known for her numerous supporting roles in Hollywood films.
-
E.
Mary Genevieve McGovern
Mary Genevieve McGovern was the wife of influential American film censor Joseph I. Breen, known for her connection to his prominent role in enforcing the Hollywood Production Code.
- 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: Virginia Marie Peterson Triple: [Roger Tory Peterson, spouse, Virginia Marie Peterson]
Generated description
Virginia Marie Peterson was the wife of renowned American naturalist and field guide author Roger Tory Peterson.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Virginia Marie Peterson Target entity description: Virginia Marie Peterson was the wife of renowned American naturalist and field guide author Roger Tory Peterson.
-
A.
Linda Jean Peterson
Linda Jean Peterson is best known as the wife of Nobel Prize–winning theoretical physicist Kip Thorne.
-
B.
Elizabeth Peterson
Elizabeth Peterson is an actress known for her role in the fantasy action film "Avengers Grimm."
-
C.
Sally Peterson
Sally Peterson is known as the spouse of American investment banker and former U.S. Secretary of Commerce Peter G. Peterson.
-
D.
Dorothy Peterson
Dorothy Peterson was an American character actress active in the early to mid-20th century, known for her numerous supporting roles in Hollywood films.
-
E.
Mary Genevieve McGovern
Mary Genevieve McGovern was the wife of influential American film censor Joseph I. Breen, known for her connection to his prominent role in enforcing the Hollywood Production Code.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e39c3748d08190a57ae40f54aa63c4 |
completed | April 18, 2026, 2:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05be3406888190bd3f8deea269be20 |
completed | May 14, 2026, 12:21 p.m. |
| NEDg | Description generation | batch_6a05bffc6c548190ae746c901b1f121c |
completed | May 14, 2026, 12:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05c0521b0481909ae61b887e1461cf |
completed | May 14, 2026, 12:30 p.m. |
Created at: April 10, 2026, 5:20 a.m.