Triple
T12306227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edwin Rosario |
E293358
|
entity |
| Predicate | lostTitleTo |
P356
|
FINISHED |
| Object | Juan Nazario |
E1044095
|
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: Juan Nazario | Statement: [Edwin Rosario, lostTitleTo, Juan Nazario]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juan Nazario Context triple: [Edwin Rosario, lostTitleTo, Juan Nazario]
-
A.
Juan Nazario
chosen
Juan Nazario is a Puerto Rican former professional boxer best known for winning the WBA lightweight title in the late 1980s.
-
B.
Juan Alejandrez
Juan Alejandrez is a character in Laura Esquivel's novel "Like Water for Chocolate," known primarily as the husband of Gertrudis.
-
C.
Roque Baños
Roque Baños is a Spanish film composer renowned for his evocative scores for both Spanish cinema and international productions.
-
D.
Eduardo Navarro
Eduardo Navarro is a contemporary artist known for his conceptual and often participatory works that explore perception, time, and the relationship between humans and their environment.
-
E.
Jose Llana
Jose Llana is a Filipino-American actor and singer best known for his work in numerous Broadway musicals, including roles in "The King and I," "Spelling Bee," and "Flower Drum Song."
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f00695c8190b7365e4593631690 |
completed | April 10, 2026, 6:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d78433081909ae0278e9e1abacb |
completed | May 3, 2026, 2:36 p.m. |
Created at: April 8, 2026, 9:53 p.m.