Triple
T9502113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Margaret Bridgeman |
E229168
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Bridgeman |
E457921
|
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: Bridgeman | Statement: [Lady Margaret Bridgeman, familyName, Bridgeman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bridgeman Context triple: [Lady Margaret Bridgeman, familyName, Bridgeman]
-
A.
Bridgeman
chosen
Bridgeman is an English surname historically associated with British nobility and aristocratic families.
-
B.
Talbot
Talbot is a surname of English and Norman origin, historically associated with several notable families and individuals.
-
C.
Hayez
Hayez is the surname of Francesco Hayez, a prominent 19th-century Italian Romantic painter known for his historical and allegorical works.
-
D.
Sisley
Sisley is a French Impressionist painter renowned for his serene, light-filled landscape paintings.
-
E.
Beazley
Beazley is an English-language surname most prominently associated with Australian politician Kim Beazley and his family.
- 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_69ca84753660819098e8d416e89e26ae |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd983ea6048190a2d7924c8e6d1fbc |
completed | April 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d13a10f7b08190b8e4d4bc3b9815c6 |
completed | April 4, 2026, 4:19 p.m. |
Created at: March 30, 2026, 7:57 p.m.