Triple

T14696481
Position Surface form Disambiguated ID Type / Status
Subject Amos Oz E345175 entity
Predicate notableWork P4 FINISHED
Object Fima
Fima is a novel by Israeli author Amos Oz that portrays the introspective, often comic life of a failed poet and political idealist in Jerusalem.
 E1114140 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: Fima | Statement: [Amos Oz, notableWork, Fima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fima
Context triple: [Amos Oz, notableWork, Fima]
  • A. Fumusa
    Fumusa is an Italian-origin surname most notably associated with American actor Dominic Fumusa.
  • B. Fondani
    Fondani are the inhabitants or natives of the Italian town of Fondi, located in the Lazio region.
  • C. Fimiston
    Fimiston is a locality on the outskirts of Kalgoorlie in Western Australia, best known as the site of the massive Super Pit gold mine.
  • D. Fagu
    Fagu is a small, scenic hill station near Shimla in Himachal Pradesh, India, known for its apple orchards, terraced fields, and panoramic Himalayan views.
  • E. Faya
    Faya is a town in northern Chad that serves as an important oasis and regional administrative center in the Sahara Desert.
  • 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: Fima
Triple: [Amos Oz, notableWork, Fima]
Generated description
Fima is a novel by Israeli author Amos Oz that portrays the introspective, often comic life of a failed poet and political idealist in Jerusalem.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fima
Target entity description: Fima is a novel by Israeli author Amos Oz that portrays the introspective, often comic life of a failed poet and political idealist in Jerusalem.
  • A. Fumusa
    Fumusa is an Italian-origin surname most notably associated with American actor Dominic Fumusa.
  • B. Fondani
    Fondani are the inhabitants or natives of the Italian town of Fondi, located in the Lazio region.
  • C. Fimiston
    Fimiston is a locality on the outskirts of Kalgoorlie in Western Australia, best known as the site of the massive Super Pit gold mine.
  • D. Fagu
    Fagu is a small, scenic hill station near Shimla in Himachal Pradesh, India, known for its apple orchards, terraced fields, and panoramic Himalayan views.
  • E. Faya
    Faya is a town in northern Chad that serves as an important oasis and regional administrative center in the Sahara Desert.
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb58855e081908b38f9515db5677f completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde18e279c8190814f90e947734541 completed May 8, 2026, 1:13 p.m.
NEDg Description generation batch_69fde259ea5881909d48031a183ca614 completed May 8, 2026, 1:17 p.m.
NED2 Entity disambiguation (via description) batch_69fde2d0445881908b17fc24369ee90f completed May 8, 2026, 1:19 p.m.
Created at: April 10, 2026, 1:28 a.m.