Triple
T7193656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neiman Marcus Building |
E167756
|
entity |
| Predicate | architect |
P184
|
FINISHED |
| Object | George Dahl |
E60277
|
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: George Dahl | Statement: [Neiman Marcus Building, architect, George Dahl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Dahl Context triple: [Neiman Marcus Building, architect, George Dahl]
-
A.
George L. Dahl
chosen
George L. Dahl was a prominent 20th-century American architect known for shaping much of Dallas’s skyline and major civic landmarks.
-
B.
LeRoy Apker
LeRoy Apker was an American experimental physicist known for his contributions to solid-state physics and for his work at General Electric.
-
C.
Clarence Kolb
Clarence Kolb was an American vaudeville and film actor best known for his comic character roles in Hollywood movies of the 1930s and 1940s.
-
D.
George Keymas
George Keymas was an American character actor known for his frequent appearances in 1950s and 1960s Westerns and television series.
-
E.
William L. Langer
William L. Langer was a prominent American diplomatic historian and intelligence analyst who played a key role in shaping U.S. strategic research and analysis during World War II.
- 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_69c6888b5248819090499a884ee3ec39 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e9036544819083c70a5d2135ba4b |
completed | March 27, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bf9b8ff48190a561035f754922e9 |
completed | March 28, 2026, 11:46 a.m. |
Created at: March 27, 2026, 2:50 p.m.