Triple

T11216120
Position Surface form Disambiguated ID Type / Status
Subject Theo de Raadt E265443 entity
Predicate givenName P17 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: [Theo de Raadt, givenName, Theo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Theo
Context triple: [Theo de Raadt, givenName, 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. Teoh
    Teoh is a romanized Chinese surname, commonly used as a variant spelling of "Zhang" in Southeast Asia.
  • E. 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.
  • 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_69d6aac59460819089b9848b27f57848 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8e8eef48190932a85784ce15c86 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e49762e3188190ba3c0e01cf04f6a1 completed April 19, 2026, 8:50 a.m.
Created at: April 8, 2026, 9:30 p.m.