Triple
T2292258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dawn Fraser |
E51530
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Fraser
Fraser is a common Scottish surname historically associated with the Clan Fraser and borne by many notable figures worldwide.
|
E254434
|
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: Fraser | Statement: [Dawn Fraser, familyName, Fraser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fraser Context triple: [Dawn Fraser, familyName, Fraser]
-
A.
Kinnaird
Kinnaird is a historic Scottish estate and locality traditionally associated with the Carnegie family and the title of Lord Carnegie of Kinnaird.
-
B.
Lorne
Lorne is a masculine given name most notably associated with Canadian-American television producer and "Saturday Night Live" creator Lorne Michaels.
-
C.
MacKenzie
MacKenzie is the first name of MacKenzie Scott, the American novelist and philanthropist known for her large-scale charitable giving.
-
D.
Crowfoot
Crowfoot is the maiden surname of Nobel Prize–winning chemist Dorothy Hodgkin, reflecting her family lineage.
-
E.
Simon Fraser
Simon Fraser was a British Army general best known for his leadership and death during the American Revolutionary War’s Saratoga campaign.
- 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: Fraser Triple: [Dawn Fraser, familyName, Fraser]
Generated description
Fraser is a common Scottish surname historically associated with the Clan Fraser and borne by many notable figures worldwide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fraser Target entity description: Fraser is a common Scottish surname historically associated with the Clan Fraser and borne by many notable figures worldwide.
-
A.
Kinnaird
Kinnaird is a historic Scottish estate and locality traditionally associated with the Carnegie family and the title of Lord Carnegie of Kinnaird.
-
B.
Lorne
Lorne is a masculine given name most notably associated with Canadian-American television producer and "Saturday Night Live" creator Lorne Michaels.
-
C.
MacKenzie
MacKenzie is the first name of MacKenzie Scott, the American novelist and philanthropist known for her large-scale charitable giving.
-
D.
Crowfoot
Crowfoot is the maiden surname of Nobel Prize–winning chemist Dorothy Hodgkin, reflecting her family lineage.
-
E.
Simon Fraser
Simon Fraser was a British Army general best known for his leadership and death during the American Revolutionary War’s Saratoga campaign.
- 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_69a88b09c644819090b503456d96bf70 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc5b50df481908a3d8f71d245e8fa |
completed | March 7, 2026, 6:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f23ca34819091d2bb0d41613b4a |
completed | March 9, 2026, 8:04 a.m. |
| NEDg | Description generation | batch_69ae82aa6d7c81909cb770ea2be10b2a |
completed | March 9, 2026, 8:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae837e392c8190baa7552ce8c14995 |
completed | March 9, 2026, 8:23 a.m. |
Created at: March 4, 2026, 7:48 p.m.