Triple

T6543781
Position Surface form Disambiguated ID Type / Status
Subject Irene Frei Ruiz-Tagle E168353 entity
Predicate givenName P17 FINISHED
Object Irene E76766 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: Irene | Statement: [Irene Frei Ruiz-Tagle, givenName, Irene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Irene
Context triple: [Irene Frei Ruiz-Tagle, givenName, Irene]
  • A. Irene chosen
    Irene is a feminine given name of Greek origin meaning "peace," borne by numerous historical, religious, and contemporary figures worldwide.
  • B. Isidora
    Isidora is a feminine given name of Greek origin, commonly considered the female form of Isidore and meaning "gift of Isis."
  • C. Helene
    Helene is the given name of Leni Riefenstahl, the controversial German filmmaker and actress known for her propaganda films during the Nazi era.
  • D. Helene
    Helene is a feminine given name of Greek origin, derived from Helen and associated with meanings like "light" or "torch."
  • E. Lucia
    Lucia is a feminine given name of Latin origin, commonly associated with light and used in various European 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_69c68a51564081909e93aee0dbd9cca3 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6adece74c819095f3f800d5623ad2 completed March 27, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d544f8248190bc5dd4685fb1473e completed March 27, 2026, 7:06 p.m.
Created at: March 27, 2026, 1:50 p.m.