Triple
T10853382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wentworth Woodhouse |
E256206
|
entity |
| Predicate | builtFor |
P1261
|
FINISHED |
| Object | Wentworth family |
E746898
|
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: Wentworth family | Statement: [Wentworth Woodhouse, builtFor, Wentworth family]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wentworth family Context triple: [Wentworth Woodhouse, builtFor, Wentworth family]
-
A.
Wentworth family
chosen
The Wentworth family is an English noble lineage historically prominent in politics and society, notably connected by marriage to influential Tudor-era figures.
-
B.
Ward family
The Ward family is a historically significant family after whom Wards Island in New York is named.
-
C.
Hart family
The Hart family is a prominent American entertainment family best known for including comedian and actor Kevin Hart and his children.
-
D.
Caine family
The Caine family is a British acting dynasty best known for including acclaimed actor Michael Caine and his relatives involved in the entertainment industry.
-
E.
Welhaven family
The Welhaven family is a notable Norwegian family known for its cultural and literary contributions in the 19th century.
- 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75134299481909459fd87917261a7 |
completed | April 9, 2026, 7:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff7cc0d648190afb0ce80bac7f3dc |
completed | April 15, 2026, 8:40 p.m. |
Created at: April 8, 2026, 9:20 p.m.