Triple
T10298360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woonsocket, Rhode Island |
E241557
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Lisa Baldelli-Hunt
Lisa Baldelli-Hunt is an American politician who has served as the mayor of Woonsocket, Rhode Island.
|
E881303
|
NE FINISHED |
How this triple was built (4 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: Lisa Baldelli-Hunt | Statement: [Woonsocket, Rhode Island, hasMayor, Lisa Baldelli-Hunt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lisa Baldelli-Hunt Context triple: [Woonsocket, Rhode Island, hasMayor, Lisa Baldelli-Hunt]
-
A.
Lisa Loiacono
Lisa Loiacono is a real estate agent best known as the wife of actor Christopher Lloyd.
-
B.
Lisa Gottsegen
Lisa Gottsegen is an American businesswoman and philanthropist best known as the longtime wife of actor Dustin Hoffman.
-
C.
Lisa Molinaro
Lisa Molinaro is an American multi-instrumentalist and vocalist best known for her work with indie rock bands including Modest Mouse and Talkdemonic.
-
D.
Mary Beth Hughes
Mary Beth Hughes was an American film and television actress best known for her roles in 1940s Hollywood dramas and crime films.
-
E.
Dawn Olivieri
Dawn Olivieri is an American actress known for her roles in television series such as "Heroes" and "House of Lies" as well as various film appearances.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lisa Baldelli-Hunt Triple: [Woonsocket, Rhode Island, hasMayor, Lisa Baldelli-Hunt]
Generated description
Lisa Baldelli-Hunt is an American politician who has served as the mayor of Woonsocket, Rhode Island.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lisa Baldelli-Hunt Target entity description: Lisa Baldelli-Hunt is an American politician who has served as the mayor of Woonsocket, Rhode Island.
-
A.
Lisa Loiacono
Lisa Loiacono is a real estate agent best known as the wife of actor Christopher Lloyd.
-
B.
Lisa Gottsegen
Lisa Gottsegen is an American businesswoman and philanthropist best known as the longtime wife of actor Dustin Hoffman.
-
C.
Lisa Molinaro
Lisa Molinaro is an American multi-instrumentalist and vocalist best known for her work with indie rock bands including Modest Mouse and Talkdemonic.
-
D.
Mary Beth Hughes
Mary Beth Hughes was an American film and television actress best known for her roles in 1940s Hollywood dramas and crime films.
-
E.
Dawn Olivieri
Dawn Olivieri is an American actress known for her roles in television series such as "Heroes" and "House of Lies" as well as various film appearances.
- F. None of above. chosen
Provenance (5 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2ed50908190962f0d6d049fb964 |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbac97ce2481908ea11d6290a9bf2f |
completed | April 12, 2026, 2:30 p.m. |
| NEDg | Description generation | batch_69dbaeb211088190a9118c71918584e5 |
completed | April 12, 2026, 2:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69dbaf7c999c819097a8cdf5bd82f648 |
completed | April 12, 2026, 2:43 p.m. |
Created at: April 6, 2026, 11:43 a.m.