Triple
T869342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Malinche |
E18774
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Malintzin |
E18774
|
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: Malintzin | Statement: [La Malinche, hasName, Malintzin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malintzin Context triple: [La Malinche, hasName, Malintzin]
-
A.
La Malinche
chosen
La Malinche was a Nahua woman who served as Hernán Cortés’s interpreter, advisor, and intermediary, playing a pivotal role in the Spanish conquest of the Aztec Empire.
-
B.
Itzamna
Itzamna is a major Maya creator god associated with the sky, wisdom, writing, and rulership in ancient Mesoamerican religion.
-
C.
Nezahualcóyotl
Nezahualcóyotl is a major municipality in the State of Mexico, part of the Mexico City metropolitan area and known for its dense urban development and working-class character.
-
D.
Kʼawiil
Kʼawiil is a prominent Maya deity associated with lightning, royal power, and dynastic legitimacy in Mesoamerican religion.
-
E.
Tita de la Garza
Tita de la Garza is the passionate, emotionally expressive heroine of Laura Esquivel’s novel "Like Water for Chocolate," whose cooking magically channels her feelings.
- 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_69a4938ce8688190a24bdfef82ba7d21 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac811e548190a72b7a10b5ea8665 |
completed | March 1, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7a3c9e7ec819081d58634fe0efdcb |
completed | March 4, 2026, 3:15 a.m. |
Created at: March 1, 2026, 7:39 p.m.