Triple

T20500931
Position Surface form Disambiguated ID Type / Status
Subject Luisana Lopilato E503299 entity
Predicate givenName P17 FINISHED
Object Luisana
Luisana is an Argentine actress, model, and former child star best known for her roles in popular telenovelas and for her marriage to singer Michael Bublé.
E1434298 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: Luisana | Statement: [Luisana Lopilato, givenName, Luisana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luisana
Context triple: [Luisana Lopilato, givenName, Luisana]
  • A. St. Catharina
    St. Catharina is a Christian saint venerated in the Roman Catholic tradition, commonly associated with wisdom, learning, and martyrdom.
  • B. Loiceño
    Loiceño is the Spanish demonym for a person from the municipality of Loíza in Puerto Rico.
  • C. Μελινταού
    Μελινταού είναι μια από τις υψηλότερες και πιο γνωστές κορυφές των Λευκών Ορέων στην Κρήτη, δημοφιλής προορισμός για ορειβατικές και πεζοπορικές διαδρομές.
  • D. Naiche
    Naiche was the last hereditary chief of the Chiricahua Apache and a prominent leader during the final phase of the Apache resistance against the United States.
  • E. Cayenne
    Cayenne is the principal city and administrative center of French Guiana, located on the Atlantic coast in northeastern South America.
  • 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: Luisana
Triple: [Luisana Lopilato, givenName, Luisana]
Generated description
Luisana is an Argentine actress, model, and former child star best known for her roles in popular telenovelas and for her marriage to singer Michael Bublé.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Luisana
Target entity description: Luisana is an Argentine actress, model, and former child star best known for her roles in popular telenovelas and for her marriage to singer Michael Bublé.
  • A. St. Catharina
    St. Catharina is a Christian saint venerated in the Roman Catholic tradition, commonly associated with wisdom, learning, and martyrdom.
  • B. Loiceño
    Loiceño is the Spanish demonym for a person from the municipality of Loíza in Puerto Rico.
  • C. Μελινταού
    Μελινταού είναι μια από τις υψηλότερες και πιο γνωστές κορυφές των Λευκών Ορέων στην Κρήτη, δημοφιλής προορισμός για ορειβατικές και πεζοπορικές διαδρομές.
  • D. Naiche
    Naiche was the last hereditary chief of the Chiricahua Apache and a prominent leader during the final phase of the Apache resistance against the United States.
  • E. Cayenne
    Cayenne is the principal city and administrative center of French Guiana, located on the Atlantic coast in northeastern South America.
  • 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_69e0b4b1e52c8190894281cf7e3283ab completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69cc1ea7081908d17c224b1670bd7 completed April 20, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0893bf5da4819087e80fa2925dd8c4 completed May 16, 2026, 3:56 p.m.
NEDg Description generation batch_6a0894634f748190ae0a3be77125bf03 completed May 16, 2026, 3:59 p.m.
NED2 Entity disambiguation (via description) batch_6a08958072d08190a0e4ba12c7e550ea completed May 16, 2026, 4:04 p.m.
Created at: April 16, 2026, 11:35 a.m.