Triple
T21398967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lily Munster |
E527860
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object |
Norm Liebmann
Norm Liebmann is a television writer and producer best known for co-creating the classic sitcom "The Munsters."
|
E1567306
|
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: Norm Liebmann | Statement: [Lily Munster, creator, Norm Liebmann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norm Liebmann Context triple: [Lily Munster, creator, Norm Liebmann]
-
A.
Melvin Schlein
Melvin Schlein is the father of Italian politician Elly Schlein.
-
B.
Louis Wolheim
Louis Wolheim was an American character actor of the silent and early sound era, best known for his rugged features and memorable roles in films such as "All Quiet on the Western Front."
-
C.
Louis Gruenberg
Louis Gruenberg was a 20th-century American composer and pianist known for his operas, film scores, and contributions to modern classical music.
-
D.
Mort Engelberg
Mort Engelberg is an American film producer and production manager known for his work on movies such as the 1980 thriller "Inferno."
-
E.
Wilm Hosenfeld
Wilm Hosenfeld was a German Wehrmacht officer known for secretly helping and ultimately saving Polish Jews, most famously the pianist Władysław Szpilman, during World War II.
- 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: Norm Liebmann Triple: [Lily Munster, creator, Norm Liebmann]
Generated description
Norm Liebmann is a television writer and producer best known for co-creating the classic sitcom "The Munsters."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Norm Liebmann Target entity description: Norm Liebmann is a television writer and producer best known for co-creating the classic sitcom "The Munsters."
-
A.
Melvin Schlein
Melvin Schlein is the father of Italian politician Elly Schlein.
-
B.
Louis Wolheim
Louis Wolheim was an American character actor of the silent and early sound era, best known for his rugged features and memorable roles in films such as "All Quiet on the Western Front."
-
C.
Louis Gruenberg
Louis Gruenberg was a 20th-century American composer and pianist known for his operas, film scores, and contributions to modern classical music.
-
D.
Mort Engelberg
Mort Engelberg is an American film producer and production manager known for his work on movies such as the 1980 thriller "Inferno."
-
E.
Wilm Hosenfeld
Wilm Hosenfeld was a German Wehrmacht officer known for secretly helping and ultimately saving Polish Jews, most famously the pianist Władysław Szpilman, during World War II.
- 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_69e0b520ee3c8190abddbee7e37e834c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee62cf3e808190847ad66d2e65f9f2 |
completed | April 26, 2026, 7:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bf28a68988190bb25d84337226982 |
completed | May 19, 2026, 5:18 a.m. |
| NEDg | Description generation | batch_6a0bfbeb1b248190932b5f98f8a91c14 |
completed | May 19, 2026, 5:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bfc4db40c8190bb5ae34d179a2892 |
completed | May 19, 2026, 5:59 a.m. |
Created at: April 16, 2026, 5:14 p.m.