Triple
T1262824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Steiner |
E12536
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Steiner
Steiner is a common German-language surname borne by numerous notable individuals across fields such as music, philosophy, and science.
|
E144974
|
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: Steiner | Statement: [Max Steiner, familyName, Steiner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steiner Context triple: [Max Steiner, familyName, Steiner]
-
A.
Morgenstern
Morgenstern is a German surname borne by various notable figures in fields such as economics, literature, and the arts.
-
B.
Schröder
Schröder is a common German surname borne by numerous notable figures in politics, sports, and the arts.
-
C.
Edelmann
Edelmann is a surname of German origin borne by various individuals across fields such as music, sports, and academia.
-
D.
Huber
Huber is a surname of German origin that is borne by various notable individuals across fields such as science, sports, and the arts.
-
E.
Elster
Elster is a river in central Europe, primarily flowing through the German state of Saxony and its surrounding regions.
- 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: Steiner Triple: [Max Steiner, familyName, Steiner]
Generated description
Steiner is a common German-language surname borne by numerous notable individuals across fields such as music, philosophy, and science.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Steiner Target entity description: Steiner is a common German-language surname borne by numerous notable individuals across fields such as music, philosophy, and science.
-
A.
Morgenstern
Morgenstern is a German surname borne by various notable figures in fields such as economics, literature, and the arts.
-
B.
Schröder
Schröder is a common German surname borne by numerous notable figures in politics, sports, and the arts.
-
C.
Edelmann
Edelmann is a surname of German origin borne by various individuals across fields such as music, sports, and academia.
-
D.
Huber
Huber is a surname of German origin that is borne by various notable individuals across fields such as science, sports, and the arts.
-
E.
Elster
Elster is a river in central Europe, primarily flowing through the German state of Saxony and its surrounding regions.
- 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_69a4933352e08190ac617291985e76c0 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bfc77f4c8190b97a0ceaa31cfd49 |
completed | March 1, 2026, 10:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac9982a1588190999045eaae01e559 |
completed | March 7, 2026, 9:32 p.m. |
| NEDg | Description generation | batch_69ac9abcc2ec8190acdec5d7cbf42b42 |
completed | March 7, 2026, 9:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac9b1ea9c48190ad1520f2f67111dd |
completed | March 7, 2026, 9:39 p.m. |
Created at: March 1, 2026, 7:50 p.m.