Triple
T4114646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Armin Mueller-Stahl |
E90261
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Utz
Utz is a 1992 British drama film, based on Bruce Chatwin’s novel, about an eccentric porcelain collector in Communist-era Prague.
|
E412874
|
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: Utz | Statement: [Armin Mueller-Stahl, notableWork, Utz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Utz Context triple: [Armin Mueller-Stahl, notableWork, Utz]
-
A.
UTZ
UTZ was a global certification program for sustainable farming, particularly known for coffee, cocoa, and tea, which later merged with the Rainforest Alliance.
-
B.
Salo
Salo is a town in southwestern Finland known for its electronics industry history and location along the Salo River.
-
C.
Tarbock
Tarbock is a village in the Metropolitan Borough of Knowsley in Merseyside, England, known historically for its agricultural roots and rural character.
-
D.
In & Out
"In & Out" is a 1997 American comedy film about a small-town teacher whose life is upended when a former student publicly questions his sexuality, featuring a supporting performance by Debbie Reynolds.
-
E.
Comer
Comer is a surname most prominently associated with English actress Jodie Comer, known for her acclaimed role in the television series "Killing Eve."
- 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: Utz Triple: [Armin Mueller-Stahl, notableWork, Utz]
Generated description
Utz is a 1992 British drama film, based on Bruce Chatwin’s novel, about an eccentric porcelain collector in Communist-era Prague.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Utz Target entity description: Utz is a 1992 British drama film, based on Bruce Chatwin’s novel, about an eccentric porcelain collector in Communist-era Prague.
-
A.
UTZ
UTZ was a global certification program for sustainable farming, particularly known for coffee, cocoa, and tea, which later merged with the Rainforest Alliance.
-
B.
Salo
Salo is a town in southwestern Finland known for its electronics industry history and location along the Salo River.
-
C.
Tarbock
Tarbock is a village in the Metropolitan Borough of Knowsley in Merseyside, England, known historically for its agricultural roots and rural character.
-
D.
In & Out
"In & Out" is a 1997 American comedy film about a small-town teacher whose life is upended when a former student publicly questions his sexuality, featuring a supporting performance by Debbie Reynolds.
-
E.
Comer
Comer is a surname most prominently associated with English actress Jodie Comer, known for her acclaimed role in the television series "Killing Eve."
- 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_69af01f07c688190a6e3689667587247 |
completed | March 9, 2026, 5:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b8e30448190a1ac0df969c83631 |
completed | March 14, 2026, 2:07 p.m. |
| NEDg | Description generation | batch_69b56c18d7a48190b00f06b3987253fe |
completed | March 14, 2026, 2:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b56ca787f08190b59ed9113658ba91 |
completed | March 14, 2026, 2:11 p.m. |
Created at: March 9, 2026, 3:41 p.m.