Triple
T4771437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chellie Pingree |
E105934
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Hannah Pingree |
E465992
|
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: Hannah Pingree | Statement: [Chellie Pingree, relative, Hannah Pingree]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hannah Pingree Context triple: [Chellie Pingree, relative, Hannah Pingree]
-
A.
Hannah Pingree
chosen
Hannah Pingree is an American politician from Maine who has served as Speaker of the Maine House of Representatives and is the daughter of U.S. Representative Chellie Pingree.
-
B.
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.
-
C.
Jane Hanson
Jane Hanson is a British academic leader who serves as the ceremonial head (Chancellor) of the University of Leeds.
-
D.
Heather Mitts
Heather Mitts is a former American soccer defender and three-time Olympic gold medalist who was a prominent member of the U.S. women’s national team.
-
E.
Gail C. Murphy
Gail C. Murphy is a prominent Canadian computer scientist known for her influential research in software engineering, particularly in improving developer productivity and software evolution.
- 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_69bd43f226fc8190b867cc249c2a9042 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd655e5dcc8190a932be9b1baaffb2 |
completed | March 20, 2026, 3:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be43be262c8190b9b9e2e6c2623ff7 |
completed | March 21, 2026, 7:07 a.m. |
Created at: March 20, 2026, 1:21 p.m.