Triple

T33825991
Position Surface form Disambiguated ID Type / Status
Subject Tala E866955 entity
Predicate associatedWithAuthorIdentity P206685 FINISHED
Object first Latin American woman Nobel laureate in literature LITERAL FINISHED

How this triple was built (2 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: first Latin American woman Nobel laureate in literature | Statement: [Tala, associatedWithAuthorIdentity, first Latin American woman Nobel laureate in literature]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithAuthorIdentity
Context triple: [Tala, associatedWithAuthorIdentity, first Latin American woman Nobel laureate in literature]
  • A. associatedWithAuthorType
    Indicates that one entity has a specified type of association or role in relation to an author.
  • B. associatedWithAuthorRole
    Indicates that an entity is connected to another entity specifically in the capacity or role of an author.
  • C. associatedWithAuthorConcern
    Indicates a relationship where something is linked to, influenced by, or arises from an author’s specific concern, issue, or point of focus.
  • D. associatedWithAuthorWork
    Indicates a relationship where an author is connected to a work they created, contributed to, or are otherwise credited for.
  • E. placeAssociatedWithAuthor
    Indicates a relationship where a place is connected to an author, such as by birth, residence, work, or significant activity.
  • F. None of above. chosen

Provenance (4 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_69f34991dd248190a659541588506b3c completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_6a037e0953908190b2930b3c06a40129 completed May 12, 2026, 7:22 p.m.
PD Predicate disambiguation batch_6a0379f6c3308190b954f7810214ceed completed May 12, 2026, 7:05 p.m.
PDg Predicate description generation batch_6a037e07fe4481909ca21eae7a941ee7 completed May 12, 2026, 7:22 p.m.
Created at: May 1, 2026, 1:46 a.m.