Triple

T18958656
Position Surface form Disambiguated ID Type / Status
Subject Gina Martin E463850 entity
Predicate hasSibling P363 FINISHED
Object Sasha Martin
Sasha Martin is a person known primarily as the sibling of Gina Martin.
E1350424 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: Sasha Martin | Statement: [Gina Martin, hasSibling, Sasha Martin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sasha Martin
Context triple: [Gina Martin, hasSibling, Sasha Martin]
  • A. Sasha Barrese
    Sasha Barrese is an American actress best known for playing Doug’s fiancée Tracy in the comedy film "The Hangover" and its sequels.
  • B. Sasha Dobson
    Sasha Dobson is an American jazz and singer-songwriter known for her solo work and as a member of the alt-country trio Puss n Boots alongside Norah Jones and Catherine Popper.
  • C. Sasha Czack
    Sasha Czack is an American photographer, director, and actress best known as the first wife of actor Sylvester Stallone.
  • D. Sasha Mitchell
    Sasha Mitchell is an American actor and former kickboxing champion best known for his roles in the TV series "Step by Step" and the "Kickboxer" film franchise.
  • E. Sasha Franklin
    Sasha Franklin is a character in the comedy film "Girls Trip," portrayed as a successful but struggling lifestyle guru whose reunion with her college friends sparks both chaos and personal growth.
  • 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: Sasha Martin
Triple: [Gina Martin, hasSibling, Sasha Martin]
Generated description
Sasha Martin is a person known primarily as the sibling of Gina Martin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sasha Martin
Target entity description: Sasha Martin is a person known primarily as the sibling of Gina Martin.
  • A. Sasha Barrese
    Sasha Barrese is an American actress best known for playing Doug’s fiancée Tracy in the comedy film "The Hangover" and its sequels.
  • B. Sasha Dobson
    Sasha Dobson is an American jazz and singer-songwriter known for her solo work and as a member of the alt-country trio Puss n Boots alongside Norah Jones and Catherine Popper.
  • C. Sasha Czack
    Sasha Czack is an American photographer, director, and actress best known as the first wife of actor Sylvester Stallone.
  • D. Sasha Mitchell
    Sasha Mitchell is an American actor and former kickboxing champion best known for his roles in the TV series "Step by Step" and the "Kickboxer" film franchise.
  • E. Sasha Franklin
    Sasha Franklin is a character in the comedy film "Girls Trip," portrayed as a successful but struggling lifestyle guru whose reunion with her college friends sparks both chaos and personal growth.
  • 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_69d8dcffc278819086792a4ebfddfafa completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d5d057a48190b82b5788b3281e28 completed April 20, 2026, 7:29 a.m.
NED1 Entity disambiguation (via context triple) batch_6a059fd732f8819087374b0157bb693e completed May 14, 2026, 10:11 a.m.
NEDg Description generation batch_6a05a162a4ec81908bcdccd46e19035e completed May 14, 2026, 10:18 a.m.
NED2 Entity disambiguation (via description) batch_6a05a1f3b8908190b8295a25fff9daba completed May 14, 2026, 10:20 a.m.
Created at: April 10, 2026, noon