Triple

T1414987
Position Surface form Disambiguated ID Type / Status
Subject Manuel de Salas E31894 entity
Predicate familyName P18 FINISHED
Object de Salas E31894 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: de Salas | Statement: [Manuel de Salas, familyName, de Salas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: de Salas
Context triple: [Manuel de Salas, familyName, de Salas]
  • A. de León
    De León is a Spanish surname of Sephardic Jewish origin historically associated with notable figures in religious and cultural scholarship.
  • B. Esquivel
    Esquivel is a Spanish-language surname borne by various notable figures in literature, politics, and the arts across Latin America.
  • C. Manuel de Salas chosen
    Manuel de Salas was a prominent Chilean lawyer, intellectual, and reformer who played a key role in the country’s early independence movement and institutional development.
  • D. Juan Aldama
    Juan Aldama was a Mexican insurgent and key conspirator in the early stages of the Mexican War of Independence.
  • E. Pedro Muzquiz
    Pedro Muzquiz is the passionate yet conflicted love interest of Tita in Laura Esquivel’s novel "Like Water for Chocolate," whose forbidden romance drives much of the story’s emotional tension.
  • 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_69a49919a994819086528951bc224775 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c3e5f9d08190861206934cd71fd8 completed March 1, 2026, 10:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace5812abc819091894509e9d6bd77 completed March 8, 2026, 2:57 a.m.
Created at: March 1, 2026, 7:59 p.m.