Triple
T15409238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rick Ross |
E368539
|
entity |
| Predicate | hasOffspring |
P6882
|
FINISHED |
| Object | Berkeley Hermes Roberts |
E368539
|
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: Berkeley Hermes Roberts | Statement: [Rick Ross, hasOffspring, Berkeley Hermes Roberts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berkeley Hermes Roberts Context triple: [Rick Ross, hasOffspring, Berkeley Hermes Roberts]
-
A.
Berkeley Hermes Roberts
chosen
Berkeley Hermes Roberts is a child of American rapper and entrepreneur Rick Ross.
-
B.
Miles Joseph Berkeley
Miles Joseph Berkeley was a 19th-century English clergyman and pioneering mycologist, often regarded as the founder of plant pathology.
-
C.
William Dana Hoyt
William Dana Hoyt is an individual notable enough to be recognized as a distinguished bearer of the Hoyt surname.
-
D.
Gene Milford
Gene Milford was an American film editor known for his work on numerous classic Hollywood films across several decades.
-
E.
Theodore Roberts
Theodore Roberts was an American stage and silent film actor best known for his commanding character roles in early 20th-century cinema.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ea4f13c819085d26fd32b5dca6f |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff219de0f88190a914bfee5dde32c9 |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:20 a.m.