Triple
T10856056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walter Mirisch |
E256271
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Mirisch
Mirisch is a surname most notably associated with American film producer Walter Mirisch and the influential Mirisch film-producing family.
|
E888952
|
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: Mirisch | Statement: [Walter Mirisch, familyName, Mirisch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mirisch Context triple: [Walter Mirisch, familyName, Mirisch]
-
A.
Minnelli
Minnelli is a distinguished Italian-American show business family name most famously associated with entertainer Liza Minnelli and film director Vincente Minnelli.
-
B.
Modjeski
Modjeski is the surname of Ralph Modjeski, a prominent Polish-American civil engineer renowned for designing major bridges in the United States.
-
C.
Lasky
Lasky is a surname most notably associated with Jesse L. Lasky, a pioneering American film producer and co-founder of Paramount Pictures.
-
D.
Leisen
Leisen is a surname most notably associated with Mitchell Leisen, a prominent American film director and art director of Hollywood’s classic era.
-
E.
Goldwyn
Goldwyn is a notable American surname most famously associated with film producer Samuel Goldwyn and his entertainment-industry family.
- 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: Mirisch Triple: [Walter Mirisch, familyName, Mirisch]
Generated description
Mirisch is a surname most notably associated with American film producer Walter Mirisch and the influential Mirisch film-producing family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mirisch Target entity description: Mirisch is a surname most notably associated with American film producer Walter Mirisch and the influential Mirisch film-producing family.
-
A.
Minnelli
Minnelli is a distinguished Italian-American show business family name most famously associated with entertainer Liza Minnelli and film director Vincente Minnelli.
-
B.
Modjeski
Modjeski is the surname of Ralph Modjeski, a prominent Polish-American civil engineer renowned for designing major bridges in the United States.
-
C.
Lasky
Lasky is a surname most notably associated with Jesse L. Lasky, a pioneering American film producer and co-founder of Paramount Pictures.
-
D.
Leisen
Leisen is a surname most notably associated with Mitchell Leisen, a prominent American film director and art director of Hollywood’s classic era.
-
E.
Goldwyn
Goldwyn is a notable American surname most famously associated with film producer Samuel Goldwyn and his entertainment-industry family.
- 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7513695ac8190b5812e977a422c37 |
completed | April 9, 2026, 7:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb197808c8190b1c80aeb2144a909 |
completed | April 14, 2026, 9:28 p.m. |
| NEDg | Description generation | batch_69dec25660dc8190a4444a1099e7e40c |
completed | April 14, 2026, 10:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69dec7cdcd988190bb6508838bea48de |
completed | April 14, 2026, 11:03 p.m. |
Created at: April 8, 2026, 9:20 p.m.