Triple

T4796700
Position Surface form Disambiguated ID Type / Status
Subject Lesbian Greek dialect E106728 entity
Predicate hasNotableAuthor P4244 FINISHED
Object Sappho E109949 NE 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: Sappho | Statement: [Lesbian Greek dialect, hasNotableAuthor, Sappho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sappho
Context triple: [Lesbian Greek dialect, hasNotableAuthor, Sappho]
  • A. Sappho chosen
    Sappho was an ancient Greek lyric poet from the island of Lesbos, renowned for her emotionally intense, personal poetry, much of which survives only in fragments.
  • B. Alcaeus
    Alcaeus is a figure in Greek mythology known primarily as a son of the hero Perseus.
  • C. Simonides of Ceos
    Simonides of Ceos was an ancient Greek lyric poet renowned for his elegiac and epinician poetry, as well as for pioneering the use of memory techniques.
  • D. Alcaeus of Mytilene
    Alcaeus of Mytilene was an influential 6th-century BCE lyric poet from the island of Lesbos, renowned for his political and personal poetry composed in the Aeolic dialect.
  • E. Anacreon
    Anacreon was an ancient Greek lyric poet renowned for his songs celebrating love, wine, and revelry.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd43f591c881909e5a532388b0f3f3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd660b05ec8190971f43350f02fed4 completed March 20, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4d9a76c08190bd19fcef378cd640 completed March 21, 2026, 7:49 a.m.
Created at: March 20, 2026, 1:22 p.m.