Triple
T20183557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Graystone |
E492793
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Amanda Graystone |
—
|
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: Amanda Graystone | Statement: [Daniel Graystone, spouse, Amanda Graystone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amanda Graystone Context triple: [Daniel Graystone, spouse, Amanda Graystone]
-
A.
Amanda Graystone
chosen
Amanda Graystone is a central character in the science fiction television series "Caprica," known as a brilliant but troubled surgeon and the wife of technologist Daniel Graystone.
-
B.
Amanda Grayson
Amanda Grayson is a human schoolteacher from Earth in the Star Trek universe, best known as the human wife of Sarek and mother of Spock, bridging human and Vulcan cultures.
-
C.
Alexina Black
Alexina Black was the wife of American literary critic and Shakespearean scholar Richard Grant White.
-
D.
Rowena Morrill
Rowena Morrill was an influential American science fiction and fantasy artist renowned for her vivid, imaginative book and magazine cover illustrations.
-
E.
Elsa Bloodstone
Elsa Bloodstone is a monster-hunting superheroine in the Marvel Universe known for her expertise in combating supernatural threats and her membership in various superhero teams.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e668f068748190a0941e98ef5afd59 |
completed | April 20, 2026, 5:57 p.m. |
Created at: April 11, 2026, 11:36 p.m.