Triple
T11242794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dobbs |
E266112
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Robert (given name) |
E2918
|
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: Robert (given name) | Statement: [Dobbs, relatedTo, Robert (given name)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert (given name) Context triple: [Dobbs, relatedTo, Robert (given name)]
-
A.
Robert
chosen
Robert is a common masculine given name of Germanic origin, widely used in English-speaking countries.
-
B.
Richard Robert
Richard Robert was an influential piano teacher and musician best known for mentoring prominent 20th-century pianists such as Rudolf Serkin.
-
C.
Bobert
Bobert is a robotic student character from the animated television series "The Amazing World of Gumball," known for his literal, emotionless personality and advanced technological abilities.
-
D.
Roy
Roy is a common masculine given name of Celtic origin, often used independently or as a nickname for longer names.
-
E.
Roy
Roy is a suburban city in northern Utah, located near Ogden and part of the Ogden–Clearfield metropolitan area.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e91b0b808190bc38008bb344d180 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ad849f70819098a7056fbc4831ff |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 8, 2026, 9:30 p.m.