Triple

T258957
Position Surface form Disambiguated ID Type / Status
Subject Timothy E5498 entity
Predicate hasFeminineForm P1613 FINISHED
Object Timothea
Timothea is a feminine given name derived from the name Timothy, often interpreted to mean "honoring God."
E38169 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: Timothea | Statement: [Timothy, hasFeminineForm, Timothea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Timothea
Context triple: [Timothy, hasFeminineForm, Timothea]
  • A. Maia
    Maia is a figure from Greek mythology, one of the Pleiades and the mother of the god Hermes.
  • B. Loralai
    Loralai is a town and district in northern Balochistan, Pakistan, known historically as a regional administrative and trade center.
  • C. Pauletta
    Pauletta is a feminine given name, typically considered a diminutive or variant of Paula or Pauline.
  • D. Lydia
    Lydia is a woman mentioned in the New Testament book of Acts, known as a dealer in purple cloth from Thyatira and one of the first recorded converts to Christianity in Europe.
  • E. Clementina
    Clementina is a feminine given name, often considered a variant of Clementine, used in various European and Latin American cultures.
  • 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: Timothea
Triple: [Timothy, hasFeminineForm, Timothea]
Generated description
Timothea is a feminine given name derived from the name Timothy, often interpreted to mean "honoring God."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Timothea
Target entity description: Timothea is a feminine given name derived from the name Timothy, often interpreted to mean "honoring God."
  • A. Maia
    Maia is a figure from Greek mythology, one of the Pleiades and the mother of the god Hermes.
  • B. Loralai
    Loralai is a town and district in northern Balochistan, Pakistan, known historically as a regional administrative and trade center.
  • C. Pauletta
    Pauletta is a feminine given name, typically considered a diminutive or variant of Paula or Pauline.
  • D. Lydia
    Lydia is a woman mentioned in the New Testament book of Acts, known as a dealer in purple cloth from Thyatira and one of the first recorded converts to Christianity in Europe.
  • E. Clementina
    Clementina is a feminine given name, often considered a variant of Clementine, used in various European and Latin American cultures.
  • 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_69a2580a64ac8190ad76e34bb0715b5e completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a25d71a10c8190894c86e7a67c5974 completed Feb. 28, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3a5ce64ac8190a8f889fbede9963e completed March 1, 2026, 2:34 a.m.
NEDg Description generation batch_69a3a6e3cc4c8190bc004672c4263484 completed March 1, 2026, 2:39 a.m.
NED2 Entity disambiguation (via description) batch_69a3a74754408190af9706b501e12487 completed March 1, 2026, 2:41 a.m.
Created at: Feb. 28, 2026, 2:55 a.m.