Triple
T11152348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sliders |
E263816
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Maggie Beckett |
E918511
|
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: Maggie Beckett | Statement: [Sliders, character, Maggie Beckett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maggie Beckett Context triple: [Sliders, character, Maggie Beckett]
-
A.
Maggie Beckett
chosen
Maggie Beckett is a tough, resourceful military officer-turned-dimensional traveler who joins the core team of adventurers on the science fiction TV series "Sliders."
-
B.
Maggie Bennett
Maggie Bennett is a central character on the Netflix sitcom "The Ranch," known as the strong-willed matriarch of the Bennett family who runs the local bar and often mediates her sons' conflicts.
-
C.
Maggie Michell
Maggie Michell is one of the children of the late British film and theatre director Roger Michell.
-
D.
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."
-
E.
Rebecca McGuinness
Rebecca McGuinness is known as the wife of renowned English motorcycle road racer John McGuinness.
- 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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8719e74819095413abc6c79296c |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5427918f08190ac1fdf3e0aff036f |
completed | April 19, 2026, 9 p.m. |
Created at: April 8, 2026, 9:28 p.m.