Triple
T15297157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Extraction (2015 film) |
E365689
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object |
Steven C. Miller
Steven C. Miller is an American film director known for his work in action and horror genre movies.
|
E1148127
|
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: Steven C. Miller | Statement: [Extraction (2015 film), director, Steven C. Miller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steven C. Miller Context triple: [Extraction (2015 film), director, Steven C. Miller]
-
A.
David R. Miller
David R. Miller was a Maryland farmer whose property, including the Cornfield, became a focal point of intense combat during the American Civil War’s Battle of Antietam.
-
B.
Neil Miller
Neil Miller is a skeptical psychiatrist and the stepfather figure who provides comic tension and emotional contrast in the Christmas film "The Santa Clause."
-
C.
Paul Miller
Paul Miller is a film director known for his work on the 1997 comedy movie "The Pest."
-
D.
Peter Miller
Peter Miller is a scholar known for his collaborative work with sociologist Nikolas Rose, particularly in the fields of governmentality, social theory, and the sociology of accounting and management.
-
E.
Peter Miller
Peter Miller is the central protagonist of the thriller film "Dressed to Kill," around whom the movie’s suspenseful plot and psychological tension revolve.
- 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: Steven C. Miller Triple: [Extraction (2015 film), director, Steven C. Miller]
Generated description
Steven C. Miller is an American film director known for his work in action and horror genre movies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Steven C. Miller Target entity description: Steven C. Miller is an American film director known for his work in action and horror genre movies.
-
A.
David R. Miller
David R. Miller was a Maryland farmer whose property, including the Cornfield, became a focal point of intense combat during the American Civil War’s Battle of Antietam.
-
B.
Neil Miller
Neil Miller is a skeptical psychiatrist and the stepfather figure who provides comic tension and emotional contrast in the Christmas film "The Santa Clause."
-
C.
Paul Miller
Paul Miller is a film director known for his work on the 1997 comedy movie "The Pest."
-
D.
Peter Miller
Peter Miller is a scholar known for his collaborative work with sociologist Nikolas Rose, particularly in the fields of governmentality, social theory, and the sociology of accounting and management.
-
E.
Peter Miller
Peter Miller is the central protagonist of the thriller film "Dressed to Kill," around whom the movie’s suspenseful plot and psychological tension revolve.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e036848c1881908fbaaae0216d6d27 |
completed | April 16, 2026, 1:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef82f6d08190b809260dda247dfe |
completed | May 9, 2026, 8:25 a.m. |
| NEDg | Description generation | batch_69fef08efec88190a66159ba39409ec9 |
completed | May 9, 2026, 8:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fef1715c3081909bddb24688c810a7 |
completed | May 9, 2026, 8:33 a.m. |
Created at: April 10, 2026, 3:15 a.m.