Triple
T14655316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Violent Night |
E344093
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Josh Miller
Josh Miller is a screenwriter best known for co-writing the action-comedy Christmas film "Violent Night."
|
E1112913
|
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: Josh Miller | Statement: [Violent Night, writer, Josh Miller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Josh Miller Context triple: [Violent Night, writer, Josh Miller]
-
A.
Jeremy Miller
Jeremy Miller is an American actor best known for playing Ben Seaver on the 1980s sitcom "Growing Pains."
-
B.
JT Miller
JT Miller is an American professional ice hockey forward in the NHL, known for his playmaking ability and versatility in both offensive and defensive roles.
-
C.
Sam Miller
Sam Miller is a British television and film director known for his work on crime dramas and thrillers, including the film "No Good Deed" and episodes of series like "Luther."
-
D.
Danny Miller
Danny Miller is the male lead in the 1947 fantasy-comedy film "Down to Earth," portrayed as a Broadway producer entangled with a muse who descends from heaven to intervene in his show.
-
E.
Jimmy Miller
Jimmy Miller is a film and television producer best known for his work on hit comedies such as "Step Brothers" and other projects with major Hollywood comedians.
- 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: Josh Miller Triple: [Violent Night, writer, Josh Miller]
Generated description
Josh Miller is a screenwriter best known for co-writing the action-comedy Christmas film "Violent Night."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Josh Miller Target entity description: Josh Miller is a screenwriter best known for co-writing the action-comedy Christmas film "Violent Night."
-
A.
Jeremy Miller
Jeremy Miller is an American actor best known for playing Ben Seaver on the 1980s sitcom "Growing Pains."
-
B.
JT Miller
JT Miller is an American professional ice hockey forward in the NHL, known for his playmaking ability and versatility in both offensive and defensive roles.
-
C.
Sam Miller
Sam Miller is a British television and film director known for his work on crime dramas and thrillers, including the film "No Good Deed" and episodes of series like "Luther."
-
D.
Danny Miller
Danny Miller is the male lead in the 1947 fantasy-comedy film "Down to Earth," portrayed as a Broadway producer entangled with a muse who descends from heaven to intervene in his show.
-
E.
Jimmy Miller
Jimmy Miller is a film and television producer best known for his work on hit comedies such as "Step Brothers" and other projects with major Hollywood comedians.
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb51a562c819098971447db4b29f7 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5de0b98819094c32765e4cb3f9c |
completed | May 8, 2026, 12:23 p.m. |
| NEDg | Description generation | batch_69fddd8d7da481909d38d9390770939c |
completed | May 8, 2026, 12:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdde23da708190b7eabeed6a9cb169 |
completed | May 8, 2026, 12:59 p.m. |
Created at: April 10, 2026, 1:27 a.m.