Triple
T21766591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Thirteenth Hour (1947 film) |
E537308
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Mark Dennis
Mark Dennis was an actor known for his role in the 1947 mystery film "The Thirteenth Hour."
|
E1508553
|
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: Mark Dennis | Statement: [The Thirteenth Hour (1947 film), starring, Mark Dennis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Dennis Context triple: [The Thirteenth Hour (1947 film), starring, Mark Dennis]
-
A.
Martin Dennis
Martin Dennis is a British television director best known for his work on popular sitcoms such as "Men Behaving Badly."
-
B.
Steve Dennis
Steve Dennis is a writer best known for co-authoring the memoir "Fallin’ Up: My Story."
-
C.
Dave Dennison
Dave Dennison is a fictional character associated with Dani Dennison in the Hocus Pocus film universe, depicted as a member of her family.
-
D.
David Denny
David Denny was a 19th-century American pioneer and early settler of Seattle, Washington, who played a key role in the city's founding and development.
-
E.
Michael Dugdale
Michael Dugdale is a central character in the British conspiracy thriller series "Utopia," depicted as a morally conflicted civil servant entangled in a vast and sinister global plot.
- 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: Mark Dennis Triple: [The Thirteenth Hour (1947 film), starring, Mark Dennis]
Generated description
Mark Dennis was an actor known for his role in the 1947 mystery film "The Thirteenth Hour."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mark Dennis Target entity description: Mark Dennis was an actor known for his role in the 1947 mystery film "The Thirteenth Hour."
-
A.
Martin Dennis
Martin Dennis is a British television director best known for his work on popular sitcoms such as "Men Behaving Badly."
-
B.
Steve Dennis
Steve Dennis is a writer best known for co-authoring the memoir "Fallin’ Up: My Story."
-
C.
Dave Dennison
Dave Dennison is a fictional character associated with Dani Dennison in the Hocus Pocus film universe, depicted as a member of her family.
-
D.
David Denny
David Denny was a 19th-century American pioneer and early settler of Seattle, Washington, who played a key role in the city's founding and development.
-
E.
Michael Dugdale
Michael Dugdale is a central character in the British conspiracy thriller series "Utopia," depicted as a morally conflicted civil servant entangled in a vast and sinister global plot.
- 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_69e0c46f5d1c8190bf830409e98464e5 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f031aa9c888190887c5c1d1e3bab9f |
completed | April 28, 2026, 4:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a60cfbb388190b3403128edb12b4a |
completed | May 18, 2026, 12:44 a.m. |
| NEDg | Description generation | batch_6a0a6131a5b08190879d0a3b24a18aef |
completed | May 18, 2026, 12:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a61a609988190979940fe25c58c44 |
completed | May 18, 2026, 12:47 a.m. |
Created at: April 16, 2026, 6:51 p.m.