Triple

T5218199
Position Surface form Disambiguated ID Type / Status
Subject Silvia Navarro E117804 entity
Predicate notableWork P4 FINISHED
Object Perla
Perla is a Mexican telenovela best known for starring actress Silvia Navarro in one of her early prominent roles.
 E502791 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: Perla | Statement: [Silvia Navarro, notableWork, Perla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Perla
Context triple: [Silvia Navarro, notableWork, Perla]
  • A. La Perla
    La Perla is a small municipality in the Mexican state of Veracruz that forms part of the Orizaba metropolitan area.
  • B. Perledo
    Perledo is a small Italian village in the Lombardy region overlooking Lake Como, known for its scenic hillside views near the town of Varenna.
  • C. Pearl of Pearls
    Pearl of Pearls is an honorific epithet for Ahmad Shah Durrani, the 18th-century founder of the Durrani Empire and a key architect of the modern Afghan state.
  • D. Amorina
    Amorina is a 19th-century Swedish novel by Carl Jonas Love Almqvist, known for its romantic and psychological depth within early modern Swedish literature.
  • E. Iole
    Iole is a figure in Greek mythology, a princess of Oechalia whose relationship with Heracles ultimately leads to the jealousy of his wife Deianira and Heracles’ tragic death.
  • 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: Perla
Triple: [Silvia Navarro, notableWork, Perla]
Generated description
Perla is a Mexican telenovela best known for starring actress Silvia Navarro in one of her early prominent roles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Perla
Target entity description: Perla is a Mexican telenovela best known for starring actress Silvia Navarro in one of her early prominent roles.
  • A. La Perla
    La Perla is a small municipality in the Mexican state of Veracruz that forms part of the Orizaba metropolitan area.
  • B. Perledo
    Perledo is a small Italian village in the Lombardy region overlooking Lake Como, known for its scenic hillside views near the town of Varenna.
  • C. Pearl of Pearls
    Pearl of Pearls is an honorific epithet for Ahmad Shah Durrani, the 18th-century founder of the Durrani Empire and a key architect of the modern Afghan state.
  • D. Amorina
    Amorina is a 19th-century Swedish novel by Carl Jonas Love Almqvist, known for its romantic and psychological depth within early modern Swedish literature.
  • E. Iole
    Iole is a figure in Greek mythology, a princess of Oechalia whose relationship with Heracles ultimately leads to the jealousy of his wife Deianira and Heracles’ tragic death.
  • 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_69bd4465e03081909bfcfd7113062590 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a96d49c8190a58726a57edebdcc completed March 20, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69beefebe3b081909f3fe50cf3d73653 completed March 21, 2026, 7:22 p.m.
NEDg Description generation batch_69bef0bfd76c8190ab48fed23b21c70b completed March 21, 2026, 7:25 p.m.
NED2 Entity disambiguation (via description) batch_69bef168c2088190bba7fce5219b0d1f completed March 21, 2026, 7:28 p.m.
Created at: March 20, 2026, 1:48 p.m.