Triple
T22756508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sprague Cleghorn |
E562857
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Sprague |
—
|
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: Sprague | Statement: [Sprague Cleghorn, nickname, Sprague]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sprague Context triple: [Sprague Cleghorn, nickname, Sprague]
-
A.
Sprague
chosen
Sprague is a surname of English origin borne by various notable individuals, including military leaders, politicians, and academics.
-
B.
Sprague Grayden
Sprague Grayden is an American actress known for her roles in television series such as "Jericho," "Six Feet Under," and "24," as well as in horror films.
-
C.
Sprague-Thomson
Sprague-Thomson was a long-serving class of steel-bodied electric multiple units used on the Paris Métro from the early 20th century until their gradual replacement in the late 20th century.
-
D.
Sparling
Sparling is a surname of English origin borne by various notable individuals, including academics and public figures.
-
E.
Grundy
Grundy is a surname of English origin borne by various notable individuals across politics, sports, and entertainment.
- 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_69e24551ec7881909a9c924dbea155f6 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f179bd22588190ac724a656194f5b9 |
completed | April 29, 2026, 3:23 a.m. |
Created at: April 17, 2026, 3:25 p.m.