Triple
T6128297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annamie Paul |
E136646
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Annamie Paul |
E136646
|
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: Annamie Paul | Statement: [Annamie Paul, name, Annamie Paul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Annamie Paul Context triple: [Annamie Paul, name, Annamie Paul]
-
A.
Annamie Paul
chosen
Annamie Paul is a Canadian politician and lawyer who served as leader of the Green Party of Canada and was one of the first Black Jewish women to lead a major federal political party in Canada.
-
B.
Diane Martel
Diane Martel is an American music video director and choreographer known for her work on numerous high-profile pop and R&B videos.
-
C.
Gwen Moore
Gwen Moore is an American politician serving as a Democratic U.S. Representative from Wisconsin.
-
D.
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.
-
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.
- 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_69c008a0a37c81908e5b4f879158afb3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05c4b1df081908dc87fa1c45a43bf |
completed | March 22, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c135c44f008190bdef195511fe1111 |
completed | March 23, 2026, 12:44 p.m. |
Created at: March 22, 2026, 4:15 p.m.