Triple
T9958560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angus King |
E195504
|
entity |
| Predicate | precededBy |
P97
|
FINISHED |
| Object | Olympia Snowe |
E195503
|
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: Olympia Snowe | Statement: [Angus King, precededBy, Olympia Snowe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olympia Snowe Context triple: [Angus King, precededBy, Olympia Snowe]
-
A.
Olympia Snowe
chosen
Olympia Snowe is a former U.S. Senator from Maine known for her moderate Republican views and bipartisan legislative approach.
-
B.
Susan Collins
Susan Collins is a long-serving Republican U.S. senator from Maine known for her moderate positions and influential swing votes on key legislation.
-
C.
Sharon Jeffords
Sharon Jeffords is a fictional character from the television sitcom "Brooklyn Nine-Nine," known as the supportive and strong-willed wife of Sergeant Terry Jeffords.
-
D.
Patty Murray
Patty Murray is a long-serving Democratic U.S. senator from Washington known for her leadership roles in the Senate and work on budget, education, and health policy.
-
E.
Chellie Pingree
Chellie Pingree is an American Democratic politician and U.S. Representative from Maine known for her work on environmental, agricultural, and campaign finance reform issues.
- 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_69ca82eaaa008190a54fa1a9f954b9ad |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb6cec7dc8190bb7e43c82a317707 |
completed | April 2, 2026, 12:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d257aa73d4819081f77f8386449905 |
completed | April 5, 2026, 12:38 p.m. |
Created at: March 30, 2026, 8:46 p.m.