Triple
T19172406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louis Dombrowski |
E469354
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Louis Dombrowski |
—
|
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 Dombrowski | Statement: [Louis Dombrowski, name, Louis Dombrowski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Louis Dombrowski Context triple: [Louis Dombrowski, name, Louis Dombrowski]
-
A.
Louis Dombrowski
chosen
Louis Dombrowski is an individual notable enough to be recognized as a prominent bearer of the surname Dombrowski.
-
B.
Pierre Orefice
Pierre Orefice is a French designer and cultural project director best known for co-creating the fantastical mechanical art attraction Les Machines de l’Île in Nantes.
-
C.
Bill Dauterive
Bill Dauterive is a lonely, overweight, and chronically depressed Army barber who serves as one of Hank Hill’s sad-sack yet loyal friends in the animated series "King of the Hill."
-
D.
Louis Lamothe
Louis Lamothe was a 19th-century French painter and academic art teacher best known for mentoring artists such as Edgar Degas.
-
E.
Gerald Baillergeau
Gerald Baillergeau is an American R&B and hip-hop record producer known for his work with artists such as Tyrese.
- 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f16544948190bd10ca7804dd27a5 |
completed | April 20, 2026, 9:27 a.m. |
Created at: April 10, 2026, 12:06 p.m.