Triple
T16317972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ken Rosenthal |
E396219
|
entity |
| Predicate | topicOfReporting |
P87244
|
FINISHED |
| Object | player trades |
—
|
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: player trades | Statement: [Ken Rosenthal, topicOfReporting, player trades]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topicOfReporting Context triple: [Ken Rosenthal, topicOfReporting, player trades]
-
A.
topicOfReports
chosen
Indicates that something serves as the main subject or focus of one or more reports.
-
B.
subjectOfOperation
Indicates that an entity is the primary focus, target, or object upon which an operation or procedure is performed.
-
C.
documentationTopic
Indicates that one entity serves as the subject or focus of documentation related to another entity.
-
D.
reportedFor
Indicates that one entity has formally notified an authority or system about another entity’s behavior, condition, or status, typically to trigger review or action.
-
E.
finalReportSubject
Indicates that an entity serves as the main topic or focus of a final report.
- F. None of above.
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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b31b988190bb1fde36dae11bbd |
completed | April 17, 2026, 8:23 p.m. |
| PD | Predicate disambiguation | batch_69e219fc72c881909d452274e7af8238 |
completed | April 17, 2026, 11:31 a.m. |
Created at: April 10, 2026, 5:06 a.m.