Triple
T18220460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam Ford |
E436287
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Maggie Collins |
—
|
NE NERFINISHED |
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: Maggie Collins | Statement: [Sam Ford, relative, Maggie Collins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maggie Collins Context triple: [Sam Ford, relative, Maggie Collins]
-
A.
Maggie Collins
Maggie Collins is a character in the television series "Leverage," known as the estranged wife of mastermind Nathan Ford.
-
B.
Maggie Collins
chosen
Maggie Collins is the grandmother of Sam Ford, known primarily through her familial connection to him.
-
C.
Maggie Carey
Maggie Carey is an American filmmaker, screenwriter, and director best known for writing and directing the coming-of-age comedy film "The To Do List."
-
D.
Maggie Carpenter
Maggie Carpenter is the indecisive small-town woman who repeatedly flees from her weddings in the romantic comedy film "Runaway Bride."
-
E.
Maggie Mull
Maggie Mull is an American television writer and producer known for her work on comedy series such as "Life in Pieces" and "Family Guy."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e47a3b1c8190919e954089b41ae0 |
completed | April 19, 2026, 2:19 p.m. |
Created at: April 10, 2026, 10:32 a.m.