Triple
T4147263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir Thomas Blamey |
E89814
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Blamey |
E89814
|
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: Blamey | Statement: [Sir Thomas Blamey, familyName, Blamey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blamey Context triple: [Sir Thomas Blamey, familyName, Blamey]
-
A.
Blamey
chosen
Blamey is a surname most notably associated with Sir Thomas Blamey, an Australian field marshal and senior military commander during World War II.
-
B.
Buckley
Buckley is a small city in Washington State known for its rural character and proximity to Mount Rainier.
-
C.
Buckley
Buckley is a surname most prominently associated with William F. Buckley Jr., the influential American conservative author and founder of National Review.
-
D.
James Blakeley
James Blakeley was an American actor and later film editor active in the 1930s and beyond, known for his roles in Hollywood films such as "The Gay Desperado."
-
E.
Martin Bladen
Martin Bladen was an 18th-century British politician and colonial administrator whose influence in imperial affairs led to places such as Bladen County, North Carolina being named in his honor.
- 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_69aed95a59a881909b26e70b42c6811a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af026130bc8190ae3b0e9bec5ccad6 |
completed | March 9, 2026, 5:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b576d5379081908300afbb3a6fe5e4 |
completed | March 14, 2026, 2:55 p.m. |
Created at: March 9, 2026, 3:43 p.m.