Triple

T9969249
Position Surface form Disambiguated ID Type / Status
Subject Rafi Gavron E195760 entity
Predicate familyName P18 FINISHED
Object Gavron
Gavron is a surname most notably associated with British actor Rafi Gavron.
 E832196 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: Gavron | Statement: [Rafi Gavron, familyName, Gavron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gavron
Context triple: [Rafi Gavron, familyName, Gavron]
  • A. Pakula
    Pakula is a surname most notably associated with Alan J. Pakula, the acclaimed American film director, producer, and screenwriter known for works like "All the President's Men."
  • B. Savyon
    Savyon is an affluent residential town in central Israel known for its spacious villas, high standard of living, and proximity to Tel Aviv.
  • C. Givan
    Givan is a surname most notably associated with Paul Givan, a Northern Irish politician who has served as First Minister of Northern Ireland.
  • D. Arshawsky
    Arshawsky is the original family surname of renowned American jazz clarinetist and bandleader Artie Shaw.
  • E. Dayan
    Dayan is a Hebrew surname most famously associated with Israeli military leader and politician Moshe Dayan.
  • 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: Gavron
Triple: [Rafi Gavron, familyName, Gavron]
Generated description
Gavron is a surname most notably associated with British actor Rafi Gavron.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gavron
Target entity description: Gavron is a surname most notably associated with British actor Rafi Gavron.
  • A. Pakula
    Pakula is a surname most notably associated with Alan J. Pakula, the acclaimed American film director, producer, and screenwriter known for works like "All the President's Men."
  • B. Savyon
    Savyon is an affluent residential town in central Israel known for its spacious villas, high standard of living, and proximity to Tel Aviv.
  • C. Givan
    Givan is a surname most notably associated with Paul Givan, a Northern Irish politician who has served as First Minister of Northern Ireland.
  • D. Arshawsky
    Arshawsky is the original family surname of renowned American jazz clarinetist and bandleader Artie Shaw.
  • E. Dayan
    Dayan is a Hebrew surname most famously associated with Israeli military leader and politician Moshe Dayan.
  • 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_69ca82ebd1288190912f9e4482d1fa35 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb7b683ac8190ac97bd775a860d29 completed April 2, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23dc117f48190ad66dd62f9833a10 completed April 5, 2026, 10:47 a.m.
NEDg Description generation batch_69d23eb2971c8190bcdbc31b4ef19816 completed April 5, 2026, 10:51 a.m.
NED2 Entity disambiguation (via description) batch_69d240d7b7e881909183d7c33bd8cb5b completed April 5, 2026, 11 a.m.
Created at: March 30, 2026, 8:47 p.m.