Triple
T7712249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nebraska |
E174787
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Albert Berger |
E689550
|
NE FINISHED |
How this triple was built (2 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: Albert Berger | Statement: [Nebraska, producer, Albert Berger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Albert Berger Context triple: [Nebraska, producer, Albert Berger]
-
A.
Albert Berger
chosen
Albert Berger is an American film producer known for acclaimed independent and studio films, including the Oscar-winning drama "Cold Mountain."
-
B.
Michel Berger
Michel Berger was a renowned French singer-songwriter, composer, and producer, celebrated for his influential contributions to French pop music and his collaborations with artists such as France Gall.
-
C.
Edward Berger
Edward Berger is a German film and television director known for his acclaimed work on series like "Patrick Melrose" and the Oscar-winning war drama "All Quiet on the Western Front."
-
D.
Bernard Zehrfuss
Bernard Zehrfuss was a prominent 20th-century French architect known for his modernist public and institutional buildings.
-
E.
Walter Blum
Walter Blum is a German mathematician known for his contributions to algebra and mathematical education.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c6995c463c8190a14458036249d419 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702ae8b20819096930fe4be41b7be |
completed | March 27, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c91b1bd9148190931ce1a2a42f729b |
completed | March 29, 2026, 12:29 p.m. |
Created at: March 27, 2026, 4:04 p.m.