Triple
T7833949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Deukmejian |
E181642
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | Deukmejian |
E181642
|
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: Deukmejian | Statement: [George Deukmejian, hasSurname, Deukmejian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deukmejian Context triple: [George Deukmejian, hasSurname, Deukmejian]
-
A.
Deukmejian
chosen
Deukmejian is the surname of George Deukmejian, a prominent American politician who served as governor of California in the 1980s.
-
B.
Andrew Molera
Andrew Molera was a California landowner and conservation-minded rancher whose family’s property in Big Sur later became Andrew Molera State Park.
-
C.
Pataki
Pataki is the surname of George Pataki, the former three-term Republican governor of New York.
-
D.
Trauco
Trauco is a fearsome dwarf-like creature from Chilote mythology, known for its irresistible sexual power and for being blamed for unexpected pregnancies.
-
E.
Ervin
Ervin is a masculine given name of Germanic origin, closely related to names like Erwin and Irvin.
- 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_69ca8284a25c8190a1a20afad30da792 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb064a47648190af2ca2b336584a92 |
completed | March 30, 2026, 11:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbdef32d4c8190a2e5c76d2db6c45f |
completed | March 31, 2026, 2:49 p.m. |
Created at: March 30, 2026, 4:45 p.m.