Triple
T4456040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gertrudis |
E97724
|
entity |
| Predicate | romanticPartner |
P9994
|
FINISHED |
| Object | Juan Alejandrez |
E497343
|
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 Alejandrez | Statement: [Gertrudis, romanticPartner, Juan Alejandrez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juan Alejandrez Context triple: [Gertrudis, romanticPartner, Juan Alejandrez]
-
A.
Juan Alejandrez
chosen
Juan Alejandrez is a character in Laura Esquivel's novel "Like Water for Chocolate," known primarily as the husband of Gertrudis.
-
B.
Juan Escalona
Juan Escalona was a political and military figure who played a significant leadership role during the brief existence of the First Republic of Venezuela in the early 19th century.
-
C.
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.
-
D.
Eliseo González
Eliseo González is a child of the acclaimed Mexican filmmaker Alejandro G. Iñárritu.
-
E.
Jafet Rivera
Jafet Rivera is the child of Clara Rivera.
- 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_69b3454777808190b78aa9047ba1f018 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3564216b081908c41109100b36862 |
completed | March 13, 2026, 12:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bed8f8a8a08190b403b8c3caf20009 |
completed | March 21, 2026, 5:44 p.m. |
Created at: March 12, 2026, 11:33 p.m.