Triple

T14389820
Position Surface form Disambiguated ID Type / Status
Subject Antonio da Correggio E356811 entity
Predicate notableWork P4 FINISHED
Object Noli me tangere E246137 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: Noli me tangere | Statement: [Antonio da Correggio, notableWork, Noli me tangere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Noli me tangere
Context triple: [Antonio da Correggio, notableWork, Noli me tangere]
  • A. Noli Me Tangere chosen
    Noli Me Tangere is a Latin phrase meaning "Touch me not," historically associated with both Christian scripture and military heraldry as a motto of restraint and warning.
  • B. Editha
    Editha is an alternate given name of Cedella Booker, the Jamaican singer and mother of Bob Marley.
  • C. Inés of My Soul
    Inés of My Soul is a historical novel by Isabel Allende that fictionalizes the life of 16th-century Spanish conquistadora Inés Suárez and the turbulent founding of Chile.
  • D. Marimar
    Marimar is a popular 1990s Mexican telenovela starring Thalía as a poor young woman whose life transforms dramatically after love, betrayal, and revenge.
  • E. Marilao
    Marilao is a rapidly urbanizing municipality in the province of Bulacan in the Philippines, known for its commercial centers and proximity to Metro Manila.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9029ef048190bdda5ee41618e720 completed April 14, 2026, 7:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5517f5e481908fd65177c34f4282 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:16 a.m.