Triple
T20339029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ecstasy |
E495690
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Aribert Mog
Aribert Mog was a German actor active in the early 20th century, known for his roles in Weimar-era films.
|
E1428336
|
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: Aribert Mog | Statement: [Ecstasy, starring, Aribert Mog]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aribert Mog Context triple: [Ecstasy, starring, Aribert Mog]
-
A.
Bernhard Kaun
Bernhard Kaun was a German-American composer and orchestrator best known for his work on early Hollywood film scores, particularly in the horror genre.
-
B.
Heinz Schaller
Heinz Schaller was a German molecular biologist and entrepreneur best known for co-founding the biotechnology company Biogen.
-
C.
Aribert Wäscher
Aribert Wäscher was a German film and stage actor active in the early to mid-20th century, known for his roles in numerous German productions.
-
D.
Erhard Wetzel
Erhard Wetzel was a Nazi official and legal expert involved in formulating racial policies and contributing to the ideological and administrative framework of the Holocaust in the occupied Eastern territories.
-
E.
Albrecht Neumann
Albrecht Neumann is a notable individual who shares the surname Neumann, recognized enough to be specifically cited as a bearer of the name.
- 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: Aribert Mog Triple: [Ecstasy, starring, Aribert Mog]
Generated description
Aribert Mog was a German actor active in the early 20th century, known for his roles in Weimar-era films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aribert Mog Target entity description: Aribert Mog was a German actor active in the early 20th century, known for his roles in Weimar-era films.
-
A.
Bernhard Kaun
Bernhard Kaun was a German-American composer and orchestrator best known for his work on early Hollywood film scores, particularly in the horror genre.
-
B.
Heinz Schaller
Heinz Schaller was a German molecular biologist and entrepreneur best known for co-founding the biotechnology company Biogen.
-
C.
Aribert Wäscher
Aribert Wäscher was a German film and stage actor active in the early to mid-20th century, known for his roles in numerous German productions.
-
D.
Erhard Wetzel
Erhard Wetzel was a Nazi official and legal expert involved in formulating racial policies and contributing to the ideological and administrative framework of the Holocaust in the occupied Eastern territories.
-
E.
Albrecht Neumann
Albrecht Neumann is a notable individual who shares the surname Neumann, recognized enough to be specifically cited as a bearer of the name.
- 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_69e0b4a1a09881908d97270d6971a25a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678342a0081908ede8006eb5506a3 |
completed | April 20, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08760ac91c81908d9a2d8c91823342 |
completed | May 16, 2026, 1:50 p.m. |
| NEDg | Description generation | batch_6a08777944a0819084a966306cb3a126 |
completed | May 16, 2026, 1:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a087841f0dc81909e6cf27c87faa02e |
completed | May 16, 2026, 1:59 p.m. |
Created at: April 16, 2026, 11:23 a.m.