Triple
T11778508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oden Bowie |
E280077
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Oden |
E483181
|
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: Oden | Statement: [Oden Bowie, givenName, Oden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oden Context triple: [Oden Bowie, givenName, Oden]
-
A.
Oden
Oden is a small unincorporated community and census-designated place in Emmet County, Michigan, known for its location along Crooked Lake and the historic Oden State Fish Hatchery.
-
B.
Oden
chosen
Oden is a surname most notably associated with J. Tinsley Oden, a prominent American engineer and mathematician known for his contributions to computational mechanics.
-
C.
Unryu
Unryu was a World War II-era Imperial Japanese Navy aircraft carrier that served in the Pacific Theater.
-
D.
Ogi
Ogi was a former municipality on Sado Island in Niigata Prefecture, Japan, known for its coastal setting and later incorporation into the city of Sado.
-
E.
Koshun
Koshun is a music producer known for working on projects associated with the artist Amala.
- 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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a560bf548190afab3ad14f953a71 |
completed | April 10, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f090b8f4c481908cb3cf03875c0e24 |
completed | April 28, 2026, 10:49 a.m. |
Created at: April 8, 2026, 9:42 p.m.