Triple
T7104349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robb |
E165538
|
entity |
| Predicate | hasVariant |
P455
|
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: [Robb, hasVariant, Rob]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rob Context triple: [Robb, hasVariant, 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.
Ron
Ron is the commonly used first name of American politician Ron DeSantis, the governor of Florida and a prominent figure in contemporary U.S. conservative politics.
-
C.
Ron
Ron is a West Chadic language spoken in parts of central Nigeria.
-
D.
Ron
Ron is a central character in the Harry Potter series, known as Harry Potter’s loyal best friend and a member of the Weasley family.
-
E.
Rod
Rod is the nickname of Roderick Langway, a former professional ice hockey defenseman and Hockey Hall of Famer best known for his time with the Washington Capitals.
- 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_69c6887fcddc8190a5d58908f6dee590 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e58b3f708190bebca7d4c4db40f2 |
completed | March 27, 2026, 8:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79cad60788190bb2b17d1c3f8e1cc |
completed | March 28, 2026, 9:17 a.m. |
Created at: March 27, 2026, 2:42 p.m.