Triple

T8530972
Position Surface form Disambiguated ID Type / Status
Subject Matías Messi E201946 entity
Predicate givenName P17 FINISHED
Object Matías E614469 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: Matías | Statement: [Matías Messi, givenName, Matías]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matías
Context triple: [Matías Messi, givenName, Matías]
  • A. Matias chosen
    Matias is a masculine given name of Hebrew origin, related to names like Mateo and Matthew, commonly used in Spanish- and Portuguese-speaking countries.
  • B. Matthaeus
    Matthaeus is the Latin form of the given name Matthew, commonly associated with the biblical apostle and evangelist.
  • C. Matthias
    Matthias is the disciple chosen to join the Twelve Apostles after the betrayal and death of Judas Iscariot.
  • D. Mateus
    Mateus is a Portuguese surname commonly borne by individuals such as Rui Mateus.
  • E. Jacobo
    Jacobo is a given name, commonly used in Spanish-speaking cultures, that is related to or derived from the name Jaime.
  • 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_69ca83228b24819085d22e7dc99f5d94 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe67546248190b359c845c0161ad3 completed March 31, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d68d14c81908bde8ca0113f9503 completed April 2, 2026, 1:21 p.m.
Created at: March 30, 2026, 6:17 p.m.