Triple
T3658908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 12 Monkeys |
E77601
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
David Peoples
David Peoples is an American screenwriter best known for his work on influential science fiction and dystopian films such as "Blade Runner" and "12 Monkeys."
|
E378384
|
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: David Peoples | Statement: [12 Monkeys, screenwriter, David Peoples]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Peoples Context triple: [12 Monkeys, screenwriter, David Peoples]
-
A.
Malick Bowens
Malick Bowens was a Kenyan-born actor best known for his supporting role in the Academy Award–winning film "Out of Africa."
-
B.
Phil Brommell
Phil Brommell is a fictional character from the television crime drama series "The District."
-
C.
Michele Lamar Richards
Michele Lamar Richards is an American actress best known for her supporting role in the 1992 romantic thriller film "The Bodyguard."
-
D.
Mike Grier
Mike Grier is a former NHL winger who became the first Black general manager in league history when he took over hockey operations for the San Jose Sharks.
-
E.
Sid Jeffers
Sid Jeffers is a fictional character from the film "Humoresque," involved in the dramatic world surrounding a talented but troubled violinist.
- 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: David Peoples Triple: [12 Monkeys, screenwriter, David Peoples]
Generated description
David Peoples is an American screenwriter best known for his work on influential science fiction and dystopian films such as "Blade Runner" and "12 Monkeys."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: David Peoples Target entity description: David Peoples is an American screenwriter best known for his work on influential science fiction and dystopian films such as "Blade Runner" and "12 Monkeys."
-
A.
Malick Bowens
Malick Bowens was a Kenyan-born actor best known for his supporting role in the Academy Award–winning film "Out of Africa."
-
B.
Phil Brommell
Phil Brommell is a fictional character from the television crime drama series "The District."
-
C.
Michele Lamar Richards
Michele Lamar Richards is an American actress best known for her supporting role in the 1992 romantic thriller film "The Bodyguard."
-
D.
Mike Grier
Mike Grier is a former NHL winger who became the first Black general manager in league history when he took over hockey operations for the San Jose Sharks.
-
E.
Sid Jeffers
Sid Jeffers is a fictional character from the film "Humoresque," involved in the dramatic world surrounding a talented but troubled violinist.
- 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_69ad85dfc4dc8190a441864202ab2a7a |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3d48a2081908ac0f76d548a53ee |
completed | March 8, 2026, 6:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b48842b28881908c6a077cfaa8b092 |
completed | March 13, 2026, 9:57 p.m. |
| NEDg | Description generation | batch_69b48e0d2cfc8190b55d8060cc092411 |
completed | March 13, 2026, 10:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4b96e73fc8190aa11d1e1a06d5c25 |
completed | March 14, 2026, 1:27 a.m. |
Created at: March 8, 2026, 3:25 p.m.