Triple
T13109461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hacks |
E310932
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object |
Paul W. Downs
Paul W. Downs is an American writer, actor, and comedian best known for co-creating and starring in acclaimed television comedies.
|
E1133901
|
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: Paul W. Downs | Statement: [Hacks, creator, Paul W. Downs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul W. Downs Context triple: [Hacks, creator, Paul W. Downs]
-
A.
Glen Downey
Glen Downey is a Canadian author and educator known for his work in graphic novels and educational publishing, particularly in literacy and comics-based learning.
-
B.
Michael W. Burns
Michael W. Burns is an actor known for his role in the Western television miniseries "Broken Trail."
-
C.
Douglas Peters
Douglas Peters was a Canadian economist, banker, and Liberal politician who served as a Member of Parliament and Secretary of State for International Financial Institutions in the 1990s.
-
D.
Daniel C. Woods
Daniel C. Woods was an early settler and prominent local figure in Utah Territory for whom the city of Woods Cross is named.
-
E.
Michael A. Elliott
Michael A. Elliott is an American literary scholar and academic administrator who serves as the president of Amherst College.
- 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: Paul W. Downs Triple: [Hacks, creator, Paul W. Downs]
Generated description
Paul W. Downs is an American writer, actor, and comedian best known for co-creating and starring in acclaimed television comedies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Paul W. Downs Target entity description: Paul W. Downs is an American writer, actor, and comedian best known for co-creating and starring in acclaimed television comedies.
-
A.
Glen Downey
Glen Downey is a Canadian author and educator known for his work in graphic novels and educational publishing, particularly in literacy and comics-based learning.
-
B.
Michael W. Burns
Michael W. Burns is an actor known for his role in the Western television miniseries "Broken Trail."
-
C.
Douglas Peters
Douglas Peters was a Canadian economist, banker, and Liberal politician who served as a Member of Parliament and Secretary of State for International Financial Institutions in the 1990s.
-
D.
Daniel C. Woods
Daniel C. Woods was an early settler and prominent local figure in Utah Territory for whom the city of Woods Cross is named.
-
E.
Michael A. Elliott
Michael A. Elliott is an American literary scholar and academic administrator who serves as the president of Amherst College.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9817ce07881909ec552bf861ac175 |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9db383cc8190b1c65d202785838a |
completed | May 9, 2026, 2:36 a.m. |
| NEDg | Description generation | batch_69fe9e6ec16081909cc55fd11bc89eb4 |
completed | May 9, 2026, 2:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe9eedca1481908ce438991184d62e |
completed | May 9, 2026, 2:41 a.m. |
Created at: April 9, 2026, 9:05 p.m.