Triple
T3131789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlie Baker |
E65431
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Charlie Baker |
E65431
|
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: Charlie Baker | Statement: [Charlie Baker, name, Charlie Baker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charlie Baker Context triple: [Charlie Baker, name, Charlie Baker]
-
A.
Charlie Baker
chosen
Charlie Baker is an American politician who served as the Republican governor of Massachusetts from 2015 to 2023 and was known for his moderate, bipartisan approach to governance.
-
B.
Jimmy Hogarth
Jimmy Hogarth is a British record producer and songwriter known for his work with prominent artists across pop, rock, and soul music.
-
C.
Iain Farrington
Iain Farrington is a British pianist, organist, composer, and arranger known for his versatile work across classical and contemporary music, including high-profile national events.
-
D.
Ben Shephard
Ben Shephard is a British television presenter best known for hosting shows such as ITV's "Good Morning Britain" and the game show "Tipping Point."
-
E.
Henry Baker
Henry Baker was an 18th-century English naturalist and microscopist known for his contributions to the study of microscopic organisms and for his role in popularizing science.
- 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_69ad8581c25c8190b0d85ba9b9baa531 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada55f77b881908866fc43bdb18185 |
completed | March 8, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f82787c81908eb72b18614c3421 |
completed | March 12, 2026, 12:57 a.m. |
Created at: March 8, 2026, 3:04 p.m.