Triple
T13701140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Pest |
E328519
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object |
Paul Miller
Paul Miller is a film director known for his work on the 1997 comedy movie "The Pest."
|
E1055693
|
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 Miller | Statement: [The Pest, director, Paul Miller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Miller Context triple: [The Pest, director, Paul Miller]
-
A.
Carl Miller
Carl Miller was an American silent film actor active in the 1920s, known for his supporting roles in several notable early Hollywood productions.
-
B.
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.
-
C.
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.
-
D.
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."
-
E.
Dan Miller
Dan Miller is an American singer best known as a member of the early 2000s boy band O-Town formed on the reality TV show "Making the Band."
- 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 Miller Triple: [The Pest, director, Paul Miller]
Generated description
Paul Miller is a film director known for his work on the 1997 comedy movie "The Pest."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Paul Miller Target entity description: Paul Miller is a film director known for his work on the 1997 comedy movie "The Pest."
-
A.
Carl Miller
Carl Miller was an American silent film actor active in the 1920s, known for his supporting roles in several notable early Hollywood productions.
-
B.
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.
-
C.
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.
-
D.
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."
-
E.
Dan Miller
Dan Miller is a central character in the 2007 horror film "The Mist," known as a pragmatic and skeptical local who becomes a key figure in the tense human conflicts that arise when townspeople are trapped in a supermarket by a mysterious, deadly fog.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc879adc88190b03f1cf815b71061 |
completed | April 12, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f794575d3881908de6ed988d848918 |
completed | May 3, 2026, 6:30 p.m. |
| NEDg | Description generation | batch_69f79523bf608190addeca563bea132e |
completed | May 3, 2026, 6:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7965cc9f88190acbf232615a9e87b |
completed | May 3, 2026, 6:39 p.m. |
Created at: April 9, 2026, 9:54 p.m.