Triple
T12948557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Asia Squadron |
E309829
|
entity |
| Predicate | KarlVonMüllerRole |
P107647
|
FINISHED |
| Object | commander of SMS Emden |
—
|
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: commander of SMS Emden | Statement: [East Asia Squadron, KarlVonMüllerRole, commander of SMS Emden]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: KarlVonMüllerRole Context triple: [East Asia Squadron, KarlVonMüllerRole, commander of SMS Emden]
-
A.
discoveredBy
Indicates that something was found, identified, or brought to light through the efforts or actions of a particular agent.
-
B.
Michael B. OlbrichRole
Indicates the specific role, position, or function that Michael B. Olbrich holds or performs in relation to another entity or context.
-
C.
roleOfLeonard S. Schleifer
Indicates that the specified entity holds or has held a particular professional or organizational role associated with Leonard S. Schleifer.
-
D.
discovererRole
Indicates the role or capacity in which an entity participates as the discoverer of something.
-
E.
GalileoGalileiRole
Indicates the role, position, or capacity in which Galileo Galilei is related to or involved with another entity or activity.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69d97db69f548190a1a693bc0d6c191a |
completed | April 10, 2026, 10:46 p.m. |
| PDg | Predicate description generation | batch_69d97e5811f481908178fac6d2e0efcd |
completed | April 10, 2026, 10:48 p.m. |
Created at: April 9, 2026, 5:43 p.m.