Triple
T27584453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OMT method |
E699655
|
entity |
| Predicate | primaryAuthorOfDocumentation |
P23529
|
FINISHED |
| Object | James Rumbaugh |
—
|
NE NERFINISHED |
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: James Rumbaugh | Statement: [OMT method, primaryAuthorOfDocumentation, James Rumbaugh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryAuthorOfDocumentation Context triple: [OMT method, primaryAuthorOfDocumentation, James Rumbaugh]
-
A.
authorDocumentedBy
Indicates that an author is recorded, described, or otherwise documented by a particular source or document.
-
B.
canonicalAuthor
Indicates that an entity is the officially recognized or standard author of a given work or resource.
-
C.
firstDocumentedBy
Indicates that one entity is the person or source that originally recorded, reported, or documented the other entity for the first time.
-
D.
firstPublicationAuthor
Indicates that the subject is the author responsible for the first publication of the object.
-
E.
originAuthor
chosen
Indicates that an entity is the original creator or author of another entity (such as a work, document, or idea).
- 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_69ef6a4cb8b881909b3a8d630fd89df2 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69ff6074bcd4819090b72cd6209ff206 |
completed | May 9, 2026, 4:27 p.m. |
| PD | Predicate disambiguation | batch_69ff600aba888190812a6e7eca0283b8 |
completed | May 9, 2026, 4:25 p.m. |
Created at: April 27, 2026, 2:03 p.m.