Triple
T1884328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maud Ray Kent |
E39926
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object | Maud |
E117170
|
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: Maud | Statement: [Maud Ray Kent, hasGivenName, Maud]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maud Context triple: [Maud Ray Kent, hasGivenName, Maud]
-
A.
Maud
chosen
Maud is a feminine given name of Germanic origin, historically borne by European royalty and nobility.
-
B.
Milbanke
Milbanke is an English aristocratic family name historically associated with the wife of poet Lord Byron, Annabella Milbanke.
-
C.
Edith
Edith was the birth name of Edith of Scotland, an Anglo-Saxon–Norman noblewoman who became Queen consort of England as the first wife of King Henry I.
-
D.
Edith
Edith is one of Gru’s adopted daughters in the Despicable Me franchise, recognizable by her pink hat and mischievous, tomboyish personality.
-
E.
Henrietta
Henrietta is a feminine given name of English origin, historically popular in the 18th and 19th centuries and borne by several notable figures.
- 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_69a88633e4fc8190b7eb40463e048ec5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb11d3cd48190bbd3ef2cf62e0dff |
completed | March 7, 2026, 5:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69addf61413081909c0e840590aaf631 |
completed | March 8, 2026, 8:43 p.m. |
Created at: March 4, 2026, 7:34 p.m.