Triple
T19132343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ocean Yearbook |
E468344
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Brill Nijhoff |
—
|
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: Brill Nijhoff | Statement: [Ocean Yearbook, publisher, Brill Nijhoff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brill Nijhoff Context triple: [Ocean Yearbook, publisher, Brill Nijhoff]
-
A.
Brill
Brill is the commonly used name for the J.G. Brill Company, a historic American manufacturer best known for producing streetcars, interurban cars, and other railway vehicles in the late 19th and early 20th centuries.
-
B.
Brill
Brill is a surname of Dutch and German origin borne by various notable individuals across fields such as academia, politics, and the arts.
-
C.
Brill
Brill was a rural terminus village in Buckinghamshire, England, once served by a remote branch of the Metropolitan Railway.
-
D.
Brill
chosen
Brill is a long-established Dutch academic publishing house renowned for its scholarly works in the humanities, social sciences, and international law.
-
E.
Mouton de Gruyter
Mouton de Gruyter is an academic publishing house known for its specialized works in linguistics and related fields.
- 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_69d8dd0796a48190b34ce4cd9d3f3be5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3ea82f08190811ef35fbae744d1 |
completed | April 20, 2026, 8:29 a.m. |
Created at: April 10, 2026, 12:05 p.m.