Triple
T4916085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Squire Christopher Dale |
E110351
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object | Bell Dale |
E109052
|
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: Bell Dale | Statement: [Squire Christopher Dale, hasRelative, Bell Dale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bell Dale Context triple: [Squire Christopher Dale, hasRelative, Bell Dale]
-
A.
Bell Dale
chosen
Bell Dale is a fictional character from Anthony Trollope’s Barsetshire novel "The Small House at Allington," known as one of the Dale sisters central to the story’s romantic and social dramas.
-
B.
Tilghman
Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
-
C.
Dillon
Dillon is the middle name of famed American baseball player and manager Casey Stengel.
-
D.
Dillon
Dillon is a surname of Irish origin that has been borne by numerous notable individuals across various fields.
-
E.
Dillon
Dillon is a tough, muscular CIA operative portrayed by Carl Weathers in the 1987 sci-fi action film "Predator."
- 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_69bd44132b94819088522d92beaadc78 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6fa559608190aa8d02b1547b8f97 |
completed | March 20, 2026, 4:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be81bfb44481909f67d726dacec37d |
completed | March 21, 2026, 11:32 a.m. |
Created at: March 20, 2026, 1:29 p.m.