Triple
T20531204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Davenport Hotel |
E504069
|
entity |
| Predicate | founder |
P104
|
FINISHED |
| Object | Louis Davenport |
—
|
NE NERFINISHED |
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: Louis Davenport | Statement: [Davenport Hotel, founder, Louis Davenport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Louis Davenport Context triple: [Davenport Hotel, founder, Louis Davenport]
-
A.
Louis Davenport
chosen
Louis Davenport was a prominent early 20th-century hotelier and businessman best known for founding and developing the luxury Davenport Hotel in Spokane, Washington.
-
B.
J. Peter Robinson
J. Peter Robinson is a British composer, arranger, and keyboardist known for his film and television scores as well as his work in rock and jazz fusion.
-
C.
Raymond Gardner
Raymond Gardner was the brother of famed American actress Ava Gardner, a member of the Gardner family from rural North Carolina.
-
D.
Nathan Barr
Nathan Barr is an American film and television composer known for his atmospheric scores on projects ranging from horror films to acclaimed series like True Blood and The Americans.
-
E.
Charles Brust
Charles Brust was the husband of American film and radio actress Rochelle Hudson.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b3a6e08190ae663701f50fab8e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a06b923c81908ba24be6645a7c61 |
completed | April 20, 2026, 9:53 p.m. |
Created at: April 16, 2026, 11:37 a.m.