Triple

T3956617
Position Surface form Disambiguated ID Type / Status
Subject Sophia Petrillo E85795 entity
Predicate familyName P18 FINISHED
Object Petrillo
Petrillo is an Italian-origin surname most notably associated with the fictional character Sophia Petrillo from the television series "The Golden Girls."
E402974 NE FINISHED

How this triple was built (4 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: Petrillo | Statement: [Sophia Petrillo, familyName, Petrillo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Petrillo
Context triple: [Sophia Petrillo, familyName, Petrillo]
  • A. Alvito
    Alvito is a small Portuguese municipality in the Alentejo region, known for its historic castle and traditional rural landscape.
  • B. Nicolosi
    Nicolosi is a Sicilian town known as a main gateway and base for excursions to Mount Etna.
  • C. Gavignano
    Gavignano is a small Italian town in the Lazio region, historically notable as the birthplace of Pope Innocent III.
  • D. Toriano
    Toriano is the birth name of Tito Jackson, the American musician and original member of the Jackson 5.
  • E. Tagliabue
    Tagliabue is an Italian-origin surname most prominently associated with Paul Tagliabue, the former commissioner of the National Football League (NFL).
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Petrillo
Triple: [Sophia Petrillo, familyName, Petrillo]
Generated description
Petrillo is an Italian-origin surname most notably associated with the fictional character Sophia Petrillo from the television series "The Golden Girls."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Petrillo
Target entity description: Petrillo is an Italian-origin surname most notably associated with the fictional character Sophia Petrillo from the television series "The Golden Girls."
  • A. Alvito
    Alvito is a small Portuguese municipality in the Alentejo region, known for its historic castle and traditional rural landscape.
  • B. Nicolosi
    Nicolosi is a Sicilian town known as a main gateway and base for excursions to Mount Etna.
  • C. Gavignano
    Gavignano is a small Italian town in the Lazio region, historically notable as the birthplace of Pope Innocent III.
  • D. Toriano
    Toriano is the birth name of Tito Jackson, the American musician and original member of the Jackson 5.
  • E. Tagliabue
    Tagliabue is an Italian-origin surname most prominently associated with Paul Tagliabue, the former commissioner of the National Football League (NFL).
  • F. None of above. chosen

Provenance (5 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_69aed93a96908190bcbdbfa718f155bd completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef95bbb9c8190bd64c5b7ea2f341a completed March 9, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b533aea08c8190b83d83e3ba89848c completed March 14, 2026, 10:08 a.m.
NEDg Description generation batch_69b537f7e2e481909b7a337c130bca7a completed March 14, 2026, 10:27 a.m.
NED2 Entity disambiguation (via description) batch_69b538a7f8e4819087a74e96255e7c45 completed March 14, 2026, 10:30 a.m.
Created at: March 9, 2026, 3:31 p.m.