Triple
T15586433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bogenhausen |
E374632
|
entity |
| Predicate | hasCityQuarter |
P4813
|
FINISHED |
| Object | Denning |
E157646
|
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: Denning | Statement: [Bogenhausen, hasCityQuarter, Denning]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Denning Context triple: [Bogenhausen, hasCityQuarter, Denning]
-
A.
Denning
chosen
Denning is a surname most prominently associated with Peter J. Denning, an influential American computer scientist known for his work in operating systems and the science of computing.
-
B.
Denninger
Denninger is a German-origin surname borne by various individuals, including the American actor Richard Denning.
-
C.
Dinneen
Dinneen is a surname of Irish origin borne by various notable individuals in sports, politics, and the arts.
-
D.
Glendenning
Glendenning is a minor character in David Foster Wallace’s unfinished novel "The Pale King," appearing among the ensemble of IRS employees whose lives and inner struggles the book explores.
-
E.
Devlin
Devlin is a surname most notably associated with Dean Devlin, an American screenwriter, producer, and director known for his work on major science fiction and action films.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e4900408190aadb48b001db4169 |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c5166d88190ab14c7779e3e8e1f |
completed | May 9, 2026, 3:01 p.m. |
Created at: April 10, 2026, 4:11 a.m.