Triple

T2464604
Position Surface form Disambiguated ID Type / Status
Subject Theodore E55214 entity
Predicate hasNickNameForm P28716 FINISHED
Object Theo E41209 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: Theo | Statement: [Theodore, hasNickNameForm, Theo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Theo
Context triple: [Theodore, hasNickNameForm, Theo]
  • A. Theo chosen
    Theo is a given name, often used as a short form of Theodore or related names, that has become a popular standalone first name in many countries.
  • B. Theodore
    Theodore is a masculine given name of Greek origin, meaning "gift of God," from which the nickname Ted is derived.
  • C. Théo
    Théo is a French given name, typically a short form of Théodore, commonly used for boys in French-speaking countries.
  • D. Ourthe
    The Ourthe is a scenic river in southeastern Belgium that flows through the Ardennes region, known for its winding valleys, outdoor recreation, and picturesque towns.
  • E. Tom
    Tom is a common masculine given name, often used in English-speaking countries as a short form of Thomas.
  • 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_69ab49e3622c8190ad22afa2c4fbb807 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd82f2020819086bbd321a750ce43 completed March 7, 2026, 7:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f84e1a481908fa67498f2bd1984 completed March 9, 2026, 7:29 p.m.
Created at: March 6, 2026, 9:44 p.m.