Triple
T19040613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rochelle Pingree |
E465989
|
entity |
| Predicate | legalName |
P66
|
FINISHED |
| Object |
Rochelle Pingree
Rochelle Pingree is an individual whose legal name is formally registered as "Rochelle Pingree."
|
E1357443
|
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: Rochelle Pingree | Statement: [Rochelle Pingree, legalName, Rochelle Pingree]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rochelle Pingree Context triple: [Rochelle Pingree, legalName, Rochelle Pingree]
-
A.
Hannah Pingree
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.
Maureen Beattie
Maureen Beattie is a Scottish actress known for her extensive work in television, theatre, and film, including roles in British dramas and comedies.
-
D.
Jane Frazee
Jane Frazee was an American actress and singer best known for her roles in 1940s musical comedies and wartime films.
-
E.
Coleen Rowley
Coleen Rowley is a former FBI special agent and whistleblower known for exposing intelligence failures prior to the September 11 attacks.
- 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: Rochelle Pingree Triple: [Rochelle Pingree, legalName, Rochelle Pingree]
Generated description
Rochelle Pingree is an individual whose legal name is formally registered as "Rochelle Pingree."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rochelle Pingree Target entity description: Rochelle Pingree is an individual whose legal name is formally registered as "Rochelle Pingree."
-
A.
Hannah Pingree
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.
Maureen Beattie
Maureen Beattie is a Scottish actress known for her extensive work in television, theatre, and film, including roles in British dramas and comedies.
-
D.
Jane Frazee
Jane Frazee was an American actress and singer best known for her roles in 1940s musical comedies and wartime films.
-
E.
Coleen Rowley
Coleen Rowley is a former FBI special agent and whistleblower known for exposing intelligence failures prior to the September 11 attacks.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d80054c88190a9d3a49aed504235 |
completed | April 20, 2026, 7:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05d3509b748190a69fa11e814df708 |
completed | May 14, 2026, 1:51 p.m. |
| NEDg | Description generation | batch_6a05d51dcbb081908631f0263e9abafa |
completed | May 14, 2026, 1:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05d5ae25dc8190a6c7c5c2d2a5a0f9 |
completed | May 14, 2026, 2:01 p.m. |
Created at: April 10, 2026, 12:02 p.m.