Triple
T15692042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Page Hannah |
E380354
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object |
Don Hannah
Don Hannah is a Canadian playwright and novelist known for works that often explore life in Atlantic Canada.
|
E1180172
|
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: Don Hannah | Statement: [Page Hannah, sibling, Don Hannah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don Hannah Context triple: [Page Hannah, sibling, Don Hannah]
-
A.
Doug J. Hannah
Doug J. Hannah is a film editor best known for his work on the science fiction thriller "The Cloverfield Paradox."
-
B.
Buck Hannassey
Buck Hannassey is a violent, hot-headed member of the Hannassey clan and a principal antagonist in the Western film "The Big Country."
-
C.
Dick Hantak
Dick Hantak is a former National Football League official best known for serving as the referee in Super Bowl XXVII.
-
D.
Bob Hanson
Bob Hanson is the gruff, world-weary owner of a remote desert diner who becomes an unlikely defender of humanity in the supernatural action-horror film "Legion" (2010).
-
E.
Dan Haggerty
Dan Haggerty was an American actor best known for his portrayal of the gentle mountain man in the film and television series "The Life and Times of Grizzly Adams."
- 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: Don Hannah Triple: [Page Hannah, sibling, Don Hannah]
Generated description
Don Hannah is a Canadian playwright and novelist known for works that often explore life in Atlantic Canada.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Don Hannah Target entity description: Don Hannah is a Canadian playwright and novelist known for works that often explore life in Atlantic Canada.
-
A.
Doug J. Hannah
Doug J. Hannah is a film editor best known for his work on the science fiction thriller "The Cloverfield Paradox."
-
B.
Buck Hannassey
Buck Hannassey is a violent, hot-headed member of the Hannassey clan and a principal antagonist in the Western film "The Big Country."
-
C.
Dick Hantak
Dick Hantak is a former National Football League official best known for serving as the referee in Super Bowl XXVII.
-
D.
Bob Hanson
Bob Hanson is the gruff, world-weary owner of a remote desert diner who becomes an unlikely defender of humanity in the supernatural action-horror film "Legion" (2010).
-
E.
Dan Haggerty
Dan Haggerty was an American actor best known for his portrayal of the gentle mountain man in the film and television series "The Life and Times of Grizzly Adams."
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f4f5a888190bd3681bcb9bbc02f |
completed | April 16, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa12713588190a888d6f6dd4290e1 |
completed | May 9, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69ffa417ee248190808b0fecfb58d705 |
completed | May 9, 2026, 9:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffa5372f248190827cdc4985fee1ef |
completed | May 9, 2026, 9:20 p.m. |
Created at: April 10, 2026, 4:44 a.m.