Triple
T1751526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timmins |
E38453
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Noah Timmins
Noah Timmins was a prominent Canadian mining financier and pioneer whose investments helped develop major gold mining operations in northern Ontario in the early 20th century.
|
E196961
|
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: Noah Timmins | Statement: [Timmins, namedAfter, Noah Timmins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noah Timmins Context triple: [Timmins, namedAfter, Noah Timmins]
-
A.
Noah Hutton
Noah Hutton is an American filmmaker and documentarian known for his work on science-focused and socially conscious films.
-
B.
Noah Segan
Noah Segan is an American actor best known for his frequent collaborations with director Rian Johnson, including roles in films like "Looper" and "Knives Out."
-
C.
Noah Taylor
Noah Taylor is an Australian actor known for his character roles in films such as "Shine," "Almost Famous," and "Game of Thrones."
-
D.
Noah Sorota
Noah Sorota is a film and television composer best known for scoring the science-fiction series "Falling Skies."
-
E.
Noah Keen
Noah Keen was a British character actor known for his numerous supporting roles in film and television from the 1950s through the 1990s.
- 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: Noah Timmins Triple: [Timmins, namedAfter, Noah Timmins]
Generated description
Noah Timmins was a prominent Canadian mining financier and pioneer whose investments helped develop major gold mining operations in northern Ontario in the early 20th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Noah Timmins Target entity description: Noah Timmins was a prominent Canadian mining financier and pioneer whose investments helped develop major gold mining operations in northern Ontario in the early 20th century.
-
A.
Noah Hutton
Noah Hutton is an American filmmaker and documentarian known for his work on science-focused and socially conscious films.
-
B.
Noah Segan
Noah Segan is an American actor best known for his frequent collaborations with director Rian Johnson, including roles in films like "Looper" and "Knives Out."
-
C.
Noah Taylor
Noah Taylor is an Australian actor known for his character roles in films such as "Shine," "Almost Famous," and "Game of Thrones."
-
D.
Noah Sorota
Noah Sorota is a film and television composer best known for scoring the science-fiction series "Falling Skies."
-
E.
Noah Keen
Noah Keen was a British character actor known for his numerous supporting roles in film and television from the 1950s through the 1990s.
- 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_69a8862bdb2081908aefe831c8aa8017 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa6411cc788190a052b029dbffa7ca |
completed | March 6, 2026, 5:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada0e40cb88190953c639ee2464a54 |
completed | March 8, 2026, 4:16 p.m. |
| NEDg | Description generation | batch_69ada1a2fb9481909d9ed587921ca6b6 |
completed | March 8, 2026, 4:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ada4e28830819082ed7facee14587f |
completed | March 8, 2026, 4:33 p.m. |
Created at: March 4, 2026, 7:31 p.m.