Triple
T2590918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maura Healey |
E58118
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Maura Healey |
E58118
|
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: Maura Healey | Statement: [Maura Healey, name, Maura Healey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maura Healey Context triple: [Maura Healey, name, Maura Healey]
-
A.
Maura Healey
chosen
Maura Healey is an American politician and attorney who became the first woman and first openly lesbian governor of Massachusetts.
-
B.
Nancy Hayes Sununu
Nancy Hayes Sununu is the wife of former New Hampshire governor and White House Chief of Staff John H. Sununu and the matriarch of the prominent Sununu political family.
-
C.
Martin Hynes
Martin Hynes is an American screenwriter and filmmaker best known for co-writing the story for Pixar’s animated film "Toy Story 4."
-
D.
Valerie Sununu
Valerie Sununu is an American educator and the First Lady of New Hampshire, known for her advocacy on issues such as literacy and children's mental health.
-
E.
Martha Coakley
Martha Coakley is an American lawyer and politician who served as Attorney General of Massachusetts and was the Democratic nominee in the state's 2010 U.S. Senate and 2014 gubernatorial races.
- 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_69ab4ac019c8819094add11c46706e32 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd40075f08190b760cb41c1417169 |
completed | March 7, 2026, 7:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af6589a9c48190b16b5b7959096aab |
completed | March 10, 2026, 12:27 a.m. |
Created at: March 6, 2026, 9:49 p.m.