Triple
T32241265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Taejon |
E823618
|
entity |
| Predicate | DeanStatus |
P173874
|
FINISHED |
| Object | highest-ranking U.S. officer captured in Korean War |
—
|
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: highest-ranking U.S. officer captured in Korean War | Statement: [Battle of Taejon, DeanStatus, highest-ranking U.S. officer captured in Korean War]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: DeanStatus Context triple: [Battle of Taejon, DeanStatus, highest-ranking U.S. officer captured in Korean War]
-
A.
collegeStatus
Indicates the current relationship or standing an individual has with a college, such as enrolled, graduated, or withdrawn.
-
B.
academicStatus
Indicates the educational or scholarly standing or level an entity holds within an academic context.
-
C.
degreeGrantingStatus
Indicates whether an institution or program has the authority to confer formal academic degrees.
-
D.
collegiateStatus
Indicates the relationship between an entity and a college or university, specifying its status or standing within that academic institution (e.g., enrolled, graduated, affiliated).
-
E.
studentsStatus
Indicates the current academic or enrollment status associated with one or more students.
- 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_69f3490cdda88190a9d61e11252a771f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bc30303081909c6842161ec2df46 |
completed | May 3, 2026, 3:08 a.m. |
| PD | Predicate disambiguation | batch_69f6b632cf788190a3d0c08cd026b84b |
completed | May 3, 2026, 2:42 a.m. |
| PDg | Predicate description generation | batch_69f6b960ca4081909a77690c2b122f5e |
completed | May 3, 2026, 2:56 a.m. |
Created at: May 1, 2026, 12:40 a.m.