Triple
T3261655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ron Rivera |
E68424
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Rivera |
E114090
|
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: Rivera | Statement: [Ron Rivera, familyName, Rivera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rivera Context triple: [Ron Rivera, familyName, Rivera]
-
A.
Rivera
chosen
Rivera is a common Spanish-language surname borne by numerous notable figures across sports, politics, arts, and entertainment.
-
B.
Salí River
The Salí River is a major watercourse in northern Argentina that supports regional agriculture, hydroelectric power generation, and urban water supply.
-
C.
Yaque del Norte River
The Yaque del Norte River is the longest and most important river in the Dominican Republic, flowing across northern Hispaniola and supporting agriculture, hydroelectric power, and regional settlements.
-
D.
Río San Lorenzo
Río San Lorenzo is a river in northwestern Mexico that flows through arid landscapes before emptying into the Gulf of California.
-
E.
Río Consulado
Río Consulado is an urban river in Mexico City that runs through boroughs such as Azcapotzalco and has been heavily modified and canalized as part of the city’s drainage system.
- 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_69ad8590444081909e8107a8aeef3a23 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adafa7fea08190b089b6174fd7cd32 |
completed | March 8, 2026, 5:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b37e49fa3c8190baa956a311b1a716 |
completed | March 13, 2026, 3:02 a.m. |
Created at: March 8, 2026, 3:09 p.m.