Triple
T15400659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonathan Southworth Ritter |
E368305
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Ritter |
E139814
|
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: Ritter | Statement: [Jonathan Southworth Ritter, familyName, Ritter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ritter Context triple: [Jonathan Southworth Ritter, familyName, Ritter]
-
A.
Ritter
chosen
Ritter is the surname of Thelma Ritter, the acclaimed American character actress known for her sharp-tongued, working-class roles in mid-20th-century Hollywood films.
-
B.
Ritter
Ritter is a small lunar impact crater located on the western edge of Mare Tranquillitatis on the Moon.
-
C.
Ritter
Ritter is a historical German noble title roughly equivalent to a knight, traditionally ranking below a baron in the aristocratic hierarchy.
-
D.
Ridder
Ridder is a city in northeastern Kazakhstan, known as a mining and industrial center in the Altai Mountains near the border with Russia.
-
E.
Ingenried
Ingenried is a small rural municipality in the Weilheim-Schongau district of Bavaria in southern Germany.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e8d89e08190b7cae778d89fb5e1 |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff13567e3481908eb6293c6af35f3a |
completed | May 9, 2026, 10:58 a.m. |
Created at: April 10, 2026, 3:19 a.m.