Triple
T15400412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Janet Evanovich |
E368297
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Pete Evanovich
Pete Evanovich is the husband of bestselling American mystery and romance novelist Janet Evanovich.
|
E1155019
|
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: Pete Evanovich | Statement: [Janet Evanovich, spouse, Pete Evanovich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pete Evanovich Context triple: [Janet Evanovich, spouse, Pete Evanovich]
-
A.
Pete Miller
Pete Miller is a musician best known as a member of the Celtic rock band O'Malley's March.
-
B.
Pete Miller
Pete Miller is a character from the U.S. version of "The Office," introduced in the later seasons as a new employee at Dunder Mifflin Scranton.
-
C.
Pete Campbell
Pete Campbell is an ambitious and often morally conflicted advertising account executive in the television drama series "Mad Men."
-
D.
Pete Marino
Pete Marino is a tough, streetwise homicide detective and longtime ally of medical examiner Kay Scarpetta in Patricia Cornwell’s crime novel series.
-
E.
Pete Ciarrocchi
Pete Ciarrocchi is an American businessman best known as the founder of the Chickie’s & Pete’s sports bar chain and a prominent figure in Philadelphia’s sports and hospitality scene.
- 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: Pete Evanovich Triple: [Janet Evanovich, spouse, Pete Evanovich]
Generated description
Pete Evanovich is the husband of bestselling American mystery and romance novelist Janet Evanovich.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pete Evanovich Target entity description: Pete Evanovich is the husband of bestselling American mystery and romance novelist Janet Evanovich.
-
A.
Pete Miller
Pete Miller is a musician best known as a member of the Celtic rock band O'Malley's March.
-
B.
Pete Miller
Pete Miller is a character from the U.S. version of "The Office," introduced in the later seasons as a new employee at Dunder Mifflin Scranton.
-
C.
Pete Campbell
Pete Campbell is an ambitious and often morally conflicted advertising account executive in the television drama series "Mad Men."
-
D.
Pete Marino
Pete Marino is a tough, streetwise homicide detective and longtime ally of medical examiner Kay Scarpetta in Patricia Cornwell’s crime novel series.
-
E.
Pete Ciarrocchi
Pete Ciarrocchi is an American businessman best known as the founder of the Chickie’s & Pete’s sports bar chain and a prominent figure in Philadelphia’s sports and hospitality scene.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e8d89e08190b7cae778d89fb5e1 |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff13567e3481908eb6293c6af35f3a |
completed | May 9, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_69ff144af00481909191a2d33874c195 |
completed | May 9, 2026, 11:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff15ae7c9c81909fd0894e48e5b5b1 |
completed | May 9, 2026, 11:08 a.m. |
Created at: April 10, 2026, 3:19 a.m.