Triple
T7977407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Rumbaugh |
E185480
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | OMT |
E699655
|
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: OMT | Statement: [James Rumbaugh, knownFor, OMT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OMT Context triple: [James Rumbaugh, knownFor, OMT]
-
A.
OMT method
chosen
The OMT method (Object Modeling Technique) is an early object-oriented analysis and design methodology that uses graphical models to represent and design software systems, and it significantly influenced the development of the Unified Modeling Language (UML).
-
B.
OMTR
OMTR was the NASDAQ stock ticker symbol for Omniture, a web analytics and online marketing optimization company later acquired by Adobe.
-
C.
OTMR
OTMR is an on-train data recording system used on British rail vehicles to log operational and safety-related information for monitoring and incident investigation.
-
D.
OMM
OMM is the post-nominal letters used to denote membership in the Canadian Order of Military Merit, an honor recognizing exceptional service and devotion by members of the Canadian Armed Forces.
-
E.
OMMCT
OMMCT is the UN/LOCODE designation for the Port of Muscat in Oman, used in international shipping and logistics.
- 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_69ca829851908190b4e03829353ee7c3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bf716508190b4245bd5d89ae8c4 |
completed | March 31, 2026, 3:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc5677968881908835169157244962 |
completed | March 31, 2026, 11:19 p.m. |
Created at: March 30, 2026, 5:14 p.m.