Triple
T8864030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maxine Hong Kingston |
E210966
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Earle Kingston |
E210966
|
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: Earle Kingston | Statement: [Maxine Hong Kingston, spouse, Earle Kingston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Earle Kingston Context triple: [Maxine Hong Kingston, spouse, Earle Kingston]
-
A.
Earle Kingston
chosen
Earle Kingston is the husband of acclaimed Chinese American author Maxine Hong Kingston.
-
B.
Earl Osmond
Earl Osmond is the villainous nobleman who serves as the central antagonist in Matthew Lewis’s Gothic drama "The Castle Spectre."
-
C.
Earl Jowitt
Earl Jowitt was the noble title held by William Jowitt, a prominent British Labour politician and Lord Chancellor in the mid-20th century.
-
D.
Earl Reser
Earl Reser is an American businessman best known as the founder of Reser’s Fine Foods, a major producer of prepared salads and deli foods.
-
E.
Earl Roberts
Earl Roberts is a British noble title created in honor of Lord Roberts, a distinguished military leader of the late 19th and early 20th centuries.
- 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_69ca838bbddc8190ab546d737e5d350f |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc610416b48190a26f0c457089ffca |
completed | April 1, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0f35010e481909efa384a314b6a45 |
completed | April 4, 2026, 11:17 a.m. |
Created at: March 30, 2026, 6:50 p.m.