Triple
T10226056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silent Fall |
E243206
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Ben Faulkner
Ben Faulkner is an actor best known for his role in the psychological thriller film "Silent Fall."
|
E852838
|
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: Ben Faulkner | Statement: [Silent Fall, starring, Ben Faulkner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Faulkner Context triple: [Silent Fall, starring, Ben Faulkner]
-
A.
Charles Faulkner
Charles Faulkner was a 19th-century British designer and partner in the influential Arts and Crafts firm Morris, Marshall, Faulkner & Co.
-
B.
Blackford Oakes
Blackford Oakes is a fictional American CIA agent and Cold War spy created by William F. Buckley Jr.
-
C.
Chris Godbey
Chris Godbey is a music producer and audio engineer known for his work on contemporary hip-hop and R&B tracks.
-
D.
Forrest Tucker
Forrest Tucker was an American actor best known for his roles in Westerns and classic films and later for his television work, including the sitcom "F Troop."
-
E.
Forrest McDonald
Forrest McDonald was an influential American historian best known for his work on the U.S. Constitution, the American founding, and early American political and economic history.
- 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: Ben Faulkner Triple: [Silent Fall, starring, Ben Faulkner]
Generated description
Ben Faulkner is an actor best known for his role in the psychological thriller film "Silent Fall."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ben Faulkner Target entity description: Ben Faulkner is an actor best known for his role in the psychological thriller film "Silent Fall."
-
A.
Charles Faulkner
Charles Faulkner was a 19th-century British designer and partner in the influential Arts and Crafts firm Morris, Marshall, Faulkner & Co.
-
B.
Blackford Oakes
Blackford Oakes is a fictional American CIA agent and Cold War spy created by William F. Buckley Jr.
-
C.
Chris Godbey
Chris Godbey is a music producer and audio engineer known for his work on contemporary hip-hop and R&B tracks.
-
D.
Forrest Tucker
Forrest Tucker was an American actor best known for his roles in Westerns and classic films and later for his television work, including the sitcom "F Troop."
-
E.
Forrest McDonald
Forrest McDonald was an influential American historian best known for his work on the U.S. Constitution, the American founding, and early American political and economic history.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d1f9cf6c81909a6b9e9b9d0a79fe |
completed | April 7, 2026, 9:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f715bea881909da9d0749fa6420f |
completed | April 9, 2026, 12:47 a.m. |
| NEDg | Description generation | batch_69d6fcaa16788190a4c7ef79a78febc6 |
completed | April 9, 2026, 1:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6fd6d705c81908e469068937a79b3 |
completed | April 9, 2026, 1:14 a.m. |
Created at: April 6, 2026, 11:17 a.m.