Triple
T12301849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dallas Federal Reserve Bank Building (consulting roles and additions) |
E293246
|
entity |
| Predicate | roleOfGeorgeLDahl |
P104346
|
FINISHED |
| Object | consulting architect |
—
|
LITERAL 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: consulting architect | Statement: [Dallas Federal Reserve Bank Building (consulting roles and additions), roleOfGeorgeLDahl, consulting architect]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfGeorgeLDahl Context triple: [Dallas Federal Reserve Bank Building (consulting roles and additions), roleOfGeorgeLDahl, consulting architect]
-
A.
roleOfDanielDines
Indicates that the specified role or position is held by Daniel Dines in relation to another entity or context.
-
B.
relationshipToGeorgeWilson
Indicates the specific nature of the relationship or connection that an entity has to George Wilson.
-
C.
roleOfAdamPfahler
Indicates that the specified role or position is held by Adam Pfahler.
-
D.
roleOfGregNorton
Indicates that Greg Norton holds or performs a particular role or function in relation to another entity.
-
E.
roleOfSamuelNelson
Indicates that the specified role or position is held or fulfilled by Samuel Nelson.
- F. None of above. chosen
Provenance (4 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f621570819091ee1db2609233ea |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ec02c008190a56aae60a3d9eff6 |
completed | April 10, 2026, 6:17 p.m. |
| PDg | Predicate description generation | batch_69d93f607a88819089e89fd263ae9937 |
completed | April 10, 2026, 6:20 p.m. |
Created at: April 8, 2026, 9:53 p.m.