Triple
T4373585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milbanke family |
E98951
|
entity |
| Predicate | hasSurnameForm |
P18
|
FINISHED |
| Object | Milbanke |
E98951
|
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: Milbanke | Statement: [Milbanke family, hasSurnameForm, Milbanke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Milbanke Context triple: [Milbanke family, hasSurnameForm, Milbanke]
-
A.
Milbanke
chosen
Milbanke is an English aristocratic family name historically associated with the wife of poet Lord Byron, Annabella Milbanke.
-
B.
Winifred
Winifred is the given name of Winnie Madikizela-Mandela, the prominent South African anti-apartheid activist and politician.
-
C.
Haggith
Haggith is a lesser-known wife of King David in the Hebrew Bible and the mother of his son Adonijah.
-
D.
Moira
Moira is a feminine given name of Greek origin, often considered a variant of Mary and associated with meanings like "fate" or "destiny."
-
E.
Maud
Maud was a Norwegian polar exploration ship used by Roald Amundsen during his Arctic expeditions in the early 20th 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_69b3454db3708190aeafd814413c4c3d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35220fa648190b116e786783a7eba |
completed | March 12, 2026, 11:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6135623888190bf7a4b558ca3e0d4 |
completed | March 15, 2026, 2:03 a.m. |
Created at: March 12, 2026, 11:17 p.m.