Triple
T108944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hockey Hall of Fame |
E2199
|
entity |
| Predicate | hasNotableInductee |
P304
|
FINISHED |
| Object |
Angela James
Angela James is a pioneering Canadian ice hockey player widely regarded as one of the greatest women’s players of all time and a trailblazer for the women’s game.
|
E58523
|
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: Angela James | Statement: [Hockey Hall of Fame, hasNotableInductee, Angela James]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angela James Context triple: [Hockey Hall of Fame, hasNotableInductee, Angela James]
-
A.
Rena Lalgie
Rena Lalgie is a British civil servant who became the first Black woman to serve as Governor of Bermuda.
-
B.
Melinda Rogers
Melinda Rogers is a Canadian business executive and member of the Rogers family, known for her leadership roles within Rogers Communications.
-
C.
Lisa Rogers
Lisa Rogers is a member of the Rogers family, known as the daughter of Canadian businessman and media magnate Ted Rogers.
-
D.
Patricia Spence
Patricia Spence was the second wife of British philosopher and Nobel laureate Bertrand Russell.
-
E.
Constance Casey
Constance Casey is an American writer and journalist known for her essays and columns, and she is married to Nobel Prize–winning scientist Harold Varmus.
- 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: Angela James Triple: [Hockey Hall of Fame, hasNotableInductee, Angela James]
Generated description
Angela James is a pioneering Canadian ice hockey player widely regarded as one of the greatest women’s players of all time and a trailblazer for the women’s game.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Angela James Target entity description: Angela James is a pioneering Canadian ice hockey player widely regarded as one of the greatest women’s players of all time and a trailblazer for the women’s game.
-
A.
Rena Lalgie
Rena Lalgie is a British civil servant who became the first Black woman to serve as Governor of Bermuda.
-
B.
Melinda Rogers
Melinda Rogers is a Canadian business executive and member of the Rogers family, known for her leadership roles within Rogers Communications.
-
C.
Lisa Rogers
Lisa Rogers is a member of the Rogers family, known as the daughter of Canadian businessman and media magnate Ted Rogers.
-
D.
Patricia Spence
Patricia Spence was the second wife of British philosopher and Nobel laureate Bertrand Russell.
-
E.
Constance Casey
Constance Casey is an American writer and journalist known for her essays and columns, and she is married to Nobel Prize–winning scientist Harold Varmus.
- 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_69a24fcdaeb48190a2d796677e4b3281 |
completed | Feb. 28, 2026, 2:15 a.m. |
| NER | Named-entity recognition | batch_69a25b7e2c188190b1dd8aafd4507a99 |
completed | Feb. 28, 2026, 3:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a457f80a4c8190ba0f84992fc90c59 |
completed | March 1, 2026, 3:15 p.m. |
| NEDg | Description generation | batch_69a45be986288190b6d9f0946cdceb5b |
completed | March 1, 2026, 3:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a45bfa17f08190a7bebbdc18ed0b0e |
completed | March 1, 2026, 3:32 p.m. |
Created at: Feb. 28, 2026, 2:20 a.m.