Triple

T10095955
Position Surface form Disambiguated ID Type / Status
Subject Timi E215865 entity
Predicate derivedFrom P909 FINISHED
Object Timothea E38169 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: Timothea | Statement: [Timi, derivedFrom, Timothea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Timothea
Context triple: [Timi, derivedFrom, Timothea]
  • A. Timothea chosen
    Timothea is a feminine given name derived from the name Timothy, often interpreted to mean "honoring God."
  • B. Corinna
    Corinna was an ancient Greek lyric poet from Boeotia, renowned for her choral poetry composed in the Aeolic dialect.
  • C. Philyra
    Philyra is an Oceanid nymph in Greek mythology best known as the mother of the centaur Chiron.
  • D. Sylvana
    Sylvana is a feminine given name, often considered a variant of Silvana, typically associated with meanings related to forests or woodland.
  • E. Nerissa
    Nerissa is a witty and loyal lady-in-waiting to Portia in Shakespeare’s play "The Merchant of Venice," known for her intelligence, humor, and role in the play’s romantic subplots.
  • 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_69ca83a4947c8190823a7495dc5d96ed completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd0798c248190af675e30e280daa8 completed April 2, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cbeef9a08190a2267f6c7de81170 completed April 5, 2026, 8:54 p.m.
Created at: March 30, 2026, 9:02 p.m.