Triple
T3757450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silent Running |
E82081
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Aaron Stell
Aaron Stell was an American film editor known for his work on numerous Hollywood features and television productions.
|
E394130
|
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: Aaron Stell | Statement: [Silent Running, editedBy, Aaron Stell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aaron Stell Context triple: [Silent Running, editedBy, Aaron Stell]
-
A.
Aaron Stockard
Aaron Stockard is an American screenwriter best known for co-writing the acclaimed crime drama film "Gone Baby Gone" with Ben Affleck.
-
B.
Jake Stahl
Jake Stahl was an early 20th-century American first baseman and manager best known for leading the Boston Red Sox to the 1912 World Series championship.
-
C.
Jason Keller
Jason Keller is an American screenwriter best known for co-writing the racing drama film "Ford v Ferrari."
-
D.
Chris Stolte
Chris Stolte is a computer scientist and entrepreneur best known as a co-founder and former chief development officer of the data visualization company Tableau Software.
-
E.
Brandon Trost
Brandon Trost is an American cinematographer and director known for his dynamic, stylized visual work on high-energy action and genre films.
- 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: Aaron Stell Triple: [Silent Running, editedBy, Aaron Stell]
Generated description
Aaron Stell was an American film editor known for his work on numerous Hollywood features and television productions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aaron Stell Target entity description: Aaron Stell was an American film editor known for his work on numerous Hollywood features and television productions.
-
A.
Aaron Stockard
Aaron Stockard is an American screenwriter best known for co-writing the acclaimed crime drama film "Gone Baby Gone" with Ben Affleck.
-
B.
Jake Stahl
Jake Stahl was an early 20th-century American first baseman and manager best known for leading the Boston Red Sox to the 1912 World Series championship.
-
C.
Jason Keller
Jason Keller is an American screenwriter best known for co-writing the racing drama film "Ford v Ferrari."
-
D.
Chris Stolte
Chris Stolte is a computer scientist and entrepreneur best known as a co-founder and former chief development officer of the data visualization company Tableau Software.
-
E.
Brandon Trost
Brandon Trost is an American cinematographer and director known for his dynamic, stylized visual work on high-energy action and genre films.
- 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_69ad8b1db40081908b61ffa6b78afd4d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcbc04d348190b0e4a90d18bdd160 |
completed | March 8, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b503e6c48881909ac813e603175eb0 |
completed | March 14, 2026, 6:44 a.m. |
| NEDg | Description generation | batch_69b50f2492c4819095dd2ccccc62b287 |
completed | March 14, 2026, 7:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b50f8249488190a9d399c43238047f |
completed | March 14, 2026, 7:34 a.m. |
Created at: March 8, 2026, 3:35 p.m.