Triple
T357835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olara Otunnu |
E7582
|
entity |
| Predicate | hasPublishedWork |
P80
|
FINISHED |
| Object | articles on international law and human rights |
—
|
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: articles on international law and human rights | Statement: [Olara Otunnu, hasPublishedWork, articles on international law and human rights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPublishedWork Context triple: [Olara Otunnu, hasPublishedWork, articles on international law and human rights]
-
A.
hasPublication
chosen
Indicates that an entity is associated with or responsible for a specific publication.
-
B.
yearWorkWritten
Indicates the year in which a particular work was written or created.
-
C.
hasPublisher
Indicates that an entity is published or issued by a specific publisher.
-
D.
notableWork
Indicates that one entity is a significant or well-known work (such as a book, artwork, or creation) produced by another entity.
-
E.
notableAuthorPublished
Indicates that a work was published by an author who is recognized as notable or distinguished.
- 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_69a2e7e696948190bebc966535995e45 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ebb0e348819086e3ccd96c7b129e |
completed | Feb. 28, 2026, 1:20 p.m. |
| PD | Predicate disambiguation | batch_69a2e959ce948190a201c017eecb7c95 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.