Triple
T13147912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss Marx |
E312387
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Philip Gröning
Philip Gröning is a German filmmaker and actor best known for his contemplative documentaries and art-house cinema work.
|
E1361818
|
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: Philip Gröning | Statement: [Miss Marx, starring, Philip Gröning]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Philip Gröning Context triple: [Miss Marx, starring, Philip Gröning]
-
A.
Wolfgang Glattes
Wolfgang Glattes is a film producer best known for his work on the biographical drama "Star 80."
-
B.
Rolf Schrömgens
Rolf Schrömgens is a German entrepreneur best known as a co-founder of the global hotel and accommodation search platform Trivago.
-
C.
Wolfgang Schmieder
Wolfgang Schmieder was a German musicologist best known for creating the Bach-Werke-Verzeichnis, the standard thematic catalog of Johann Sebastian Bach’s works.
-
D.
Wolfgang Rauchfuß
Wolfgang Rauchfuß was a prominent East German politician and economic official who rose to the top leadership of the German Democratic Republic, including serving in its highest executive ranks.
-
E.
Manfred Schnelldorfer
Manfred Schnelldorfer is a German figure skater best known for winning the men's singles gold medal at the 1964 Winter Olympics.
- 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: Philip Gröning Triple: [Miss Marx, starring, Philip Gröning]
Generated description
Philip Gröning is a German filmmaker and actor best known for his contemplative documentaries and art-house cinema work.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Philip Gröning Target entity description: Philip Gröning is a German filmmaker and actor best known for his contemplative documentaries and art-house cinema work.
-
A.
Wolfgang Glattes
Wolfgang Glattes is a film producer best known for his work on the biographical drama "Star 80."
-
B.
Rolf Schrömgens
Rolf Schrömgens is a German entrepreneur best known as a co-founder of the global hotel and accommodation search platform Trivago.
-
C.
Wolfgang Schmieder
Wolfgang Schmieder was a German musicologist best known for creating the Bach-Werke-Verzeichnis, the standard thematic catalog of Johann Sebastian Bach’s works.
-
D.
Wolfgang Rauchfuß
Wolfgang Rauchfuß was a prominent East German politician and economic official who rose to the top leadership of the German Democratic Republic, including serving in its highest executive ranks.
-
E.
Manfred Schnelldorfer
Manfred Schnelldorfer is a German figure skater best known for winning the men's singles gold medal at the 1964 Winter Olympics.
- 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98bd0f5b08190ab700c5de1c8e138 |
completed | April 10, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a06f232ba1c8190a30e699c556625f6 |
completed | May 15, 2026, 10:15 a.m. |
| NEDg | Description generation | batch_6a06f328c18881909948ed66d50b9eae |
completed | May 15, 2026, 10:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a06f4f990808190b3b8e21f85d20219 |
completed | May 15, 2026, 10:27 a.m. |
Created at: April 9, 2026, 9:10 p.m.