Triple
T4285398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clara Rivera |
E97255
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Clara Rivera |
E97255
|
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: Clara Rivera | Statement: [Clara Rivera, name, Clara Rivera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clara Rivera Context triple: [Clara Rivera, name, Clara Rivera]
-
A.
Clara Rivera
chosen
Clara Rivera is the wife of Hall of Fame New York Yankees closer Mariano Rivera and is known for her involvement in charitable and community activities alongside him.
-
B.
Amada Cruz
Amada Cruz is an American museum director and arts administrator known for leading major art institutions, including serving as director of the Seattle Art Museum.
-
C.
Elena Ruiz
Elena Ruiz is a film editor best known for her work on the acclaimed Spanish horror film "The Orphanage."
-
D.
Elena Alvarez
Elena Alvarez is a socially conscious, feminist teenage daughter in the Cuban-American family at the heart of the sitcom "One Day at a Time" (2017).
-
E.
Camile Velasco
Camile Velasco is a Filipino-American singer who gained national recognition as a finalist on the third season of the television talent show American Idol.
- 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_69b3454595848190a0e6bbb6a2bea040 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3505bff588190919a4ef547f607c2 |
completed | March 12, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5d06ccbf081908bc23b5f194b9587 |
completed | March 14, 2026, 9:17 p.m. |
Created at: March 12, 2026, 11:07 p.m.