Triple
T4111818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 10 Cloverfield Lane |
E90192
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Stefan Grube
Stefan Grube is a film editor best known for his work on the thriller "10 Cloverfield Lane."
|
E413355
|
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: Stefan Grube | Statement: [10 Cloverfield Lane, editedBy, Stefan Grube]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stefan Grube Context triple: [10 Cloverfield Lane, editedBy, Stefan Grube]
-
A.
Andreas Huber
Andreas Huber is a relatively common German-speaking personal name shared by multiple individuals across fields such as sports, engineering, and the arts.
-
B.
Johann Schwarzhuber
Johann Schwarzhuber was an SS officer and concentration camp official in Nazi Germany who was prosecuted for war crimes after World War II.
-
C.
Matthias Ringmann
Matthias Ringmann was a German humanist scholar and cartographer best known for helping name the continent America through his collaboration on the 1507 Waldseemüller world map.
-
D.
Hannes Nikel
Hannes Nikel was a German film editor known for his work on major German and international productions, including the war drama "Stalingrad" (1993).
-
E.
Stephan Sauer
Stephan Sauer is a notable individual who shares the surname Sauer and is recognized for achievements significant enough to be specifically referenced.
- 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: Stefan Grube Triple: [10 Cloverfield Lane, editedBy, Stefan Grube]
Generated description
Stefan Grube is a film editor best known for his work on the thriller "10 Cloverfield Lane."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stefan Grube Target entity description: Stefan Grube is a film editor best known for his work on the thriller "10 Cloverfield Lane."
-
A.
Andreas Huber
Andreas Huber is a relatively common German-speaking personal name shared by multiple individuals across fields such as sports, engineering, and the arts.
-
B.
Johann Schwarzhuber
Johann Schwarzhuber was an SS officer and concentration camp official in Nazi Germany who was prosecuted for war crimes after World War II.
-
C.
Matthias Ringmann
Matthias Ringmann was a German humanist scholar and cartographer best known for helping name the continent America through his collaboration on the 1507 Waldseemüller world map.
-
D.
Hannes Nikel
Hannes Nikel was a German film editor known for his work on major German and international productions, including the war drama "Stalingrad" (1993).
-
E.
Stephan Sauer
Stephan Sauer is a notable individual who shares the surname Sauer and is recognized for achievements significant enough to be specifically referenced.
- 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_69aed95c080881908125e30c5dcdc6f8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af01decd808190b4e5a5f76b090b0a |
completed | March 9, 2026, 5:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b8adc748190be7b34ff37ae3618 |
completed | March 14, 2026, 2:07 p.m. |
| NEDg | Description generation | batch_69b56ca404d88190aad31ec27229cd40 |
completed | March 14, 2026, 2:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b56d908f3481908ff2c703983e84e3 |
completed | March 14, 2026, 2:15 p.m. |
Created at: March 9, 2026, 3:41 p.m.