Triple
T21618348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Will Swenson |
E533505
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Amy Westerby |
E1492539
|
NE FINISHED |
How this triple was built (2 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: Amy Westerby | Statement: [Will Swenson, relative, Amy Westerby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amy Westerby Context triple: [Will Swenson, relative, Amy Westerby]
-
A.
Amy Westerby
chosen
Amy Westerby is known as the first wife of American stage and screen actor Will Swenson.
-
B.
Madeline Westen
Madeline Westen is a central supporting character in the television series "Burn Notice," known as the tough, chain-smoking, emotionally complex mother of protagonist Michael Westen.
-
C.
Georgia Sawyer
Georgia Sawyer is a fictional character portrayed as the daughter of Dwayne Johnson’s character, Will Sawyer, in the action film "Skyscraper."
-
D.
Molly Griswold
Molly Griswold is a psychologist and the main female lead in the golf film "Tin Cup," where she becomes romantically involved with the protagonist, Roy McAvoy.
-
E.
Molly Ockett
Molly Ockett was a well-known Abenaki healer and folk figure from the 18th–19th century New England region, remembered for her medical skills, generosity, and close relationships with local settlers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69e0c46411108190bba0d4176dffc9f3 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef3bac4a5c8190919c625c14a54c16 |
completed | April 27, 2026, 10:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a0f9118808190beb4a812621920ee |
completed | May 17, 2026, 6:57 p.m. |
Created at: April 16, 2026, 6:34 p.m.