Triple

T8010670
Position Surface form Disambiguated ID Type / Status
Subject Robert Pera E186481 entity
Predicate familyName P18 FINISHED
Object Pera
Pera is the surname of Robert Pera, an American technology entrepreneur and owner of the NBA’s Memphis Grizzlies.
 E225870 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: Pera | Statement: [Robert Pera, familyName, Pera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pera
Context triple: [Robert Pera, familyName, Pera]
  • A. Pera
    Pera was a prominent Genoese trading quarter and colony located across the Golden Horn from Constantinople, serving as a key hub for Mediterranean and Black Sea commerce.
  • B. Perica
    Perica is a common South Slavic diminutive form of the male given name Petar, often used as a familiar or affectionate nickname.
  • C. Pepis
    Pepis is an alternative historical spelling of the surname Pepys, most famously associated with the 17th-century English diarist Samuel Pepys.
  • D. Perka
    Perka is a small settlement located on Car Nicobar Island in the Nicobar district of India’s Andaman and Nicobar Islands.
  • E. Pomarance
    Pomarance is a historic Tuscan town in central Italy, known for its medieval architecture and proximity to the geothermal area of Larderello.
  • 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: Pera
Triple: [Robert Pera, familyName, Pera]
Generated description
Pera is the surname of Robert Pera, an American technology entrepreneur and owner of the NBA’s Memphis Grizzlies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pera
Target entity description: Pera is the surname of Robert Pera, an American technology entrepreneur and owner of the NBA’s Memphis Grizzlies.
  • A. Pera chosen
    Pera was a prominent Genoese trading quarter and colony located across the Golden Horn from Constantinople, serving as a key hub for Mediterranean and Black Sea commerce.
  • B. Perica
    Perica is a common South Slavic diminutive form of the male given name Petar, often used as a familiar or affectionate nickname.
  • C. Pepis
    Pepis is an alternative historical spelling of the surname Pepys, most famously associated with the 17th-century English diarist Samuel Pepys.
  • D. Perka
    Perka is a small settlement located on Car Nicobar Island in the Nicobar district of India’s Andaman and Nicobar Islands.
  • E. Pomarance
    Pomarance is a historic Tuscan town in central Italy, known for its medieval architecture and proximity to the geothermal area of Larderello.
  • F. None of above.

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_69ca82abaffc8190ab8af79cdbc31ab3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3d70caf8819090a9f98025470c0d completed March 31, 2026, 3:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56a54e8081908208b57b7390cc95 completed March 31, 2026, 11:20 p.m.
NEDg Description generation batch_69cc58ecd0608190ab0880992bc203fb completed March 31, 2026, 11:29 p.m.
NED2 Entity disambiguation (via description) batch_69cc5cb791b48190bd5004b518d23f84 completed March 31, 2026, 11:45 p.m.
Created at: March 30, 2026, 5:19 p.m.