Triple

T14278502
Position Surface form Disambiguated ID Type / Status
Subject Maria Laskarina E353979 entity
Predicate familyName P18 FINISHED
Object Laskarina
Laskarina is a Greek surname historically associated with notable figures in Byzantine and modern Greek history.
 E1089234 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: Laskarina | Statement: [Maria Laskarina, familyName, Laskarina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Laskarina
Context triple: [Maria Laskarina, familyName, Laskarina]
  • A. Capitana
    Capitana was one of the principal ships in Christopher Columbus’s final transatlantic expedition, playing a key role in his fourth voyage to the Americas.
  • B. Viva Bahriya
    Viva Bahriya is a residential waterfront precinct in The Pearl-Qatar known for its beachfront towers, marina views, and resort-style living.
  • C. Le Capitan
    Le Capitan is a 1960 French swashbuckling adventure film, based on a novel by Michel Zévaco, in which Jean Marais stars as a valiant swordsman in 17th-century France.
  • D. Point Lenana
    Point Lenana is the third-highest peak of Mount Kenya and a popular, non-technical trekking summit for climbers.
  • E. Seasalter
    Seasalter is a small coastal village in southeast England known for its salt marshes, seafood, and views across the Thames Estuary.
  • 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: Laskarina
Triple: [Maria Laskarina, familyName, Laskarina]
Generated description
Laskarina is a Greek surname historically associated with notable figures in Byzantine and modern Greek history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Laskarina
Target entity description: Laskarina is a Greek surname historically associated with notable figures in Byzantine and modern Greek history.
  • A. Capitana
    Capitana was one of the principal ships in Christopher Columbus’s final transatlantic expedition, playing a key role in his fourth voyage to the Americas.
  • B. Viva Bahriya
    Viva Bahriya is a residential waterfront precinct in The Pearl-Qatar known for its beachfront towers, marina views, and resort-style living.
  • C. Le Capitan
    Le Capitan is a 1960 French swashbuckling adventure film, based on a novel by Michel Zévaco, in which Jean Marais stars as a valiant swordsman in 17th-century France.
  • D. Point Lenana
    Point Lenana is the third-highest peak of Mount Kenya and a popular, non-technical trekking summit for climbers.
  • E. Seasalter
    Seasalter is a small coastal village in southeast England known for its salt marshes, seafood, and views across the Thames Estuary.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6585270c8190a717127b2f5dab3b completed April 14, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd326f62b4819084b1e984678991ae completed May 8, 2026, 12:46 a.m.
NEDg Description generation batch_69fd33e6e930819088c7479dc49c1bcd completed May 8, 2026, 12:52 a.m.
NED2 Entity disambiguation (via description) batch_69fd3453f7cc81909b183a8df2f5159f completed May 8, 2026, 12:54 a.m.
Created at: April 10, 2026, 1:10 a.m.