Triple
T5368338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Ustinov |
E108781
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Krumnagel
Krumnagel is a lesser-known work by Peter Ustinov, reflecting his multifaceted career as a writer alongside his fame as an actor and director.
|
E516187
|
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: Krumnagel | Statement: [Peter Ustinov, notableWork, Krumnagel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krumnagel Context triple: [Peter Ustinov, notableWork, Krumnagel]
-
A.
Schnaittach
Schnaittach is a river in Bavaria, Germany, that serves as a tributary of the Pegnitz River.
-
B.
Ziegelstein
Ziegelstein is a district in Nuremberg, Germany, known for its residential character and proximity to Nuremberg Airport.
-
C.
Schöngarth
Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
-
D.
Grimburgwal
Grimburgwal is a historic canal and street in central Amsterdam, known for its picturesque bridges and proximity to the city’s medieval core.
-
E.
Syrgenstein
Syrgenstein is a small municipality in the Heidenheim district of the German state of Baden-Württemberg.
- 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: Krumnagel Triple: [Peter Ustinov, notableWork, Krumnagel]
Generated description
Krumnagel is a lesser-known work by Peter Ustinov, reflecting his multifaceted career as a writer alongside his fame as an actor and director.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Krumnagel Target entity description: Krumnagel is a lesser-known work by Peter Ustinov, reflecting his multifaceted career as a writer alongside his fame as an actor and director.
-
A.
Schnaittach
Schnaittach is a river in Bavaria, Germany, that serves as a tributary of the Pegnitz River.
-
B.
Ziegelstein
Ziegelstein is a district in Nuremberg, Germany, known for its residential character and proximity to Nuremberg Airport.
-
C.
Schöngarth
Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
-
D.
Grimburgwal
Grimburgwal is a historic canal and street in central Amsterdam, known for its picturesque bridges and proximity to the city’s medieval core.
-
E.
Syrgenstein
Syrgenstein is a small municipality in the Heidenheim district of the German state of Baden-Württemberg.
- 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_69bd440c77948190aad2a5f39b7b80f5 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd86856f688190a34ab93619bae134 |
completed | March 20, 2026, 5:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf2928859881908ac238feca132d07 |
completed | March 21, 2026, 11:26 p.m. |
| NEDg | Description generation | batch_69bf2a09891c81908509695a41d1aa02 |
completed | March 21, 2026, 11:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf2ad48fc48190bb0c7de4df879c3b |
completed | March 21, 2026, 11:33 p.m. |
Created at: March 20, 2026, 2:02 p.m.