Triple
T7499605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shaft (2000 film) |
E177223
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Paul Hall
Paul Hall is a film producer best known for his work on major studio projects, including the 2000 action-crime film "Shaft."
|
E668118
|
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 Hall | Statement: [Shaft (2000 film), producer, Paul Hall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Hall Context triple: [Shaft (2000 film), producer, Paul Hall]
-
A.
Brian Hall
Brian Hall is a prominent evolutionary developmental biologist known for his influential work on the development and evolution of the vertebrate skeleton.
-
B.
Brian Hall
Brian Hall is an American soccer referee best known for officiating high-profile Major League Soccer matches and international competitions.
-
C.
Henry Halls
Henry Halls is one of the children of American actor Matt Bomer and his husband, publicist Simon Halls.
-
D.
William Hall
William Hall is a relatively common personal name shared by multiple notable individuals across fields such as politics, the military, sports, and the arts.
-
E.
George Hall
George Hall was a Canadian actor best known for portraying the elderly Indiana Jones in the television series "The Young Indiana Jones Chronicles."
- 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 Hall Triple: [Shaft (2000 film), producer, Paul Hall]
Generated description
Paul Hall is a film producer best known for his work on major studio projects, including the 2000 action-crime film "Shaft."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Paul Hall Target entity description: Paul Hall is a film producer best known for his work on major studio projects, including the 2000 action-crime film "Shaft."
-
A.
Brian Hall
Brian Hall is a prominent evolutionary developmental biologist known for his influential work on the development and evolution of the vertebrate skeleton.
-
B.
Brian Hall
Brian Hall is an American soccer referee best known for officiating high-profile Major League Soccer matches and international competitions.
-
C.
Henry Halls
Henry Halls is one of the children of American actor Matt Bomer and his husband, publicist Simon Halls.
-
D.
William Hall
William Hall is a relatively common personal name shared by multiple notable individuals across fields such as politics, the military, sports, and the arts.
-
E.
George Hall
George Hall was a Canadian actor best known for portraying the elderly Indiana Jones in the television series "The Young Indiana Jones Chronicles."
- 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_69c69f2696688190915a8458f2398211 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f598dfac8190a123daaac0784aee |
completed | March 27, 2026, 9:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c900ad081908506a2097f7fd30b |
completed | March 28, 2026, 8:39 p.m. |
| NEDg | Description generation | batch_69c83d27190481909e6659ef83d3fde7 |
completed | March 28, 2026, 8:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c83de0163c8190a16ea88ef24269d9 |
completed | March 28, 2026, 8:45 p.m. |
Created at: March 27, 2026, 3:44 p.m.