Triple

T5977686
Position Surface form Disambiguated ID Type / Status
Subject Fayga Ostrower E133039 entity
Predicate givenName P17 FINISHED
Object Fayga
Fayga is a given name most notably borne by the Brazilian artist and printmaker Fayga Ostrower.
 E558926 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: Fayga | Statement: [Fayga Ostrower, givenName, Fayga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fayga
Context triple: [Fayga Ostrower, givenName, Fayga]
  • A. Shughni
    Shughni is an Eastern Iranian language spoken primarily in the Badakhshan region of Tajikistan and Afghanistan, known for its use among the Shughni people in the Pamir Mountains.
  • B. Baiga
    Baiga are an indigenous Adivasi community of central India known for their traditional shifting cultivation, forest-based livelihood, and distinctive cultural practices.
  • C. Mishaninskaya
    Mishaninskaya is a rural locality in Russia best known as the birthplace of the polymath and scientist Mikhail Lomonosov.
  • D. Yunaska
    Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
  • E. Tayshet
    Tayshet is a town in Irkutsk Oblast, Russia, known as a major railway junction in Siberia.
  • 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: Fayga
Triple: [Fayga Ostrower, givenName, Fayga]
Generated description
Fayga is a given name most notably borne by the Brazilian artist and printmaker Fayga Ostrower.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fayga
Target entity description: Fayga is a given name most notably borne by the Brazilian artist and printmaker Fayga Ostrower.
  • A. Shughni
    Shughni is an Eastern Iranian language spoken primarily in the Badakhshan region of Tajikistan and Afghanistan, known for its use among the Shughni people in the Pamir Mountains.
  • B. Baiga
    Baiga are an indigenous Adivasi community of central India known for their traditional shifting cultivation, forest-based livelihood, and distinctive cultural practices.
  • C. Mishaninskaya
    Mishaninskaya is a rural locality in Russia best known as the birthplace of the polymath and scientist Mikhail Lomonosov.
  • D. Yunaska
    Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
  • E. Tayshet
    Tayshet is a town in Irkutsk Oblast, Russia, known as a major railway junction in Siberia.
  • 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_69c0086f45e8819098f73dd16d45ec9d completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04a3cffb08190a764a404a4ce5812 completed March 22, 2026, 7:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e4184a708190a9e4fe8453463a4b completed March 23, 2026, 6:56 a.m.
NEDg Description generation batch_69c0f9030f088190a6c3df60551cb65e completed March 23, 2026, 8:25 a.m.
NED2 Entity disambiguation (via description) batch_69c0f9ba4ca88190b783545fbf34b69b completed March 23, 2026, 8:28 a.m.
Created at: March 22, 2026, 4:04 p.m.