Triple

T869344
Position Surface form Disambiguated ID Type / Status
Subject La Malinche E18774 entity
Predicate hasName P744 FINISHED
Object Doña Marina 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: Doña Marina | Statement: [La Malinche, hasName, Doña Marina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doña Marina
Context triple: [La Malinche, hasName, Doña Marina]
  • 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. 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.
  • C. Tairona
    The Tairona were an advanced pre-Columbian indigenous civilization of northern Colombia, known for their sophisticated goldwork, terraced stone settlements, and enduring cultural legacy among modern Kogi and Arhuaco peoples.
  • D. Carmen Cortez
    Carmen Cortez is a resourceful young spy and one of the two sibling protagonists in the Spy Kids film series.
  • E. Clementina
    Clementina is a feminine given name, often considered a variant of Clementine, used in various European and Latin American cultures.
  • 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_69a7b84dcf748190b20372fdc48d6766 completed March 4, 2026, 4:42 a.m.
Created at: March 1, 2026, 7:39 p.m.