Triple
T706298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mariano Rivera |
E14106
|
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: [Mariano Rivera, familyName, Rivera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rivera Context triple: [Mariano 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.
Río de los Remedios
Río de los Remedios is a Metrobús station in Mexico City that serves as the northern terminus of Line 5 in the city’s bus rapid transit system.
-
C.
Illapel River
The Illapel River is a watercourse in Chile’s Coquimbo Region that flows through the Choapa Province, supporting local agriculture and communities in a semi-arid landscape.
-
D.
Río Negro
Río Negro is a major river in Argentine Patagonia known for irrigating fertile valleys and supporting agriculture and settlements across the region.
-
E.
Grande River
The Grande River is a watercourse in Chile’s Limarí Province that contributes to the region’s agricultural irrigation and local watershed.
- 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_69a493494ec48190ae6751683625a9ba |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a54607f08190b3ee4805f2ea4b2f |
completed | March 1, 2026, 8:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac4bf512bc81908ff403ce87337a0d |
completed | March 7, 2026, 4:01 p.m. |
Created at: March 1, 2026, 7:36 p.m.