Triple

T6129848
Position Surface form Disambiguated ID Type / Status
Subject Rico Petrocelli E136686 entity
Predicate givenName P17 FINISHED
Object Americo E398755 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: Americo | Statement: [Rico Petrocelli, givenName, Americo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Americo
Context triple: [Rico Petrocelli, givenName, Americo]
  • A. Amery
    Amery is an English surname most notably associated with a British political family, including Conservative politician Julian Amery.
  • B. Américo chosen
    Américo is a Portuguese given name commonly used for men, notably borne by figures such as former president Américo Tomás.
  • C. Amer
    Amer is a common Arabic surname borne by various notable individuals across the Middle East and North Africa.
  • D. Ameria
    Ameria is an ancient Umbrian town in central Italy, known today as Amelia, with significant archaeological and historical remains from pre-Roman and Roman times.
  • E. Vespucio Sur
    Vespucio Sur is a major urban highway in Santiago, Chile, forming part of the city’s beltway system and facilitating high-capacity traffic flow around the southern sector of the capital.
  • 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_69c008a0a37c81908e5b4f879158afb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05c4c8570819096dc87f0de2a9887 completed March 22, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c135d080808190938e3a1095080850 completed March 23, 2026, 12:45 p.m.
Created at: March 22, 2026, 4:15 p.m.