Triple
T900150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Róbert |
E19427
|
entity |
| Predicate | shortForm |
P43
|
FINISHED |
| Object | Rob |
E31255
|
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: Rob | Statement: [Róbert, shortForm, Rob]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rob Context triple: [Róbert, shortForm, Rob]
-
A.
Rob
chosen
Rob is a common shortened form of the given name Robert, frequently used as an informal or familiar first name.
-
B.
Rick
Rick is the common nickname of Rick Adelman, a former professional basketball player and longtime NBA head coach best known for leading the Portland Trail Blazers and Sacramento Kings.
-
C.
Ray
Ray is a masculine given name commonly used in English-speaking countries, often as a short form of Raymond.
-
D.
Roger
Roger is a masculine given name of Germanic origin commonly used in English-speaking countries.
-
E.
Ryan
Ryan is a masculine given name of Irish origin that is widely used in English-speaking countries.
- 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_69a4939e889c8190ac148b3ac1a7f90b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad42ecac81909f8bc554d2fe0363 |
completed | March 1, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7c734e680819098840e9c736b5ead |
completed | March 4, 2026, 5:46 a.m. |
Created at: March 1, 2026, 7:39 p.m.