Triple

T16034301
Position Surface form Disambiguated ID Type / Status
Subject Theo van de Sande E388927 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 van de Sande, givenName, Theo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Theo
Context triple: [Theo van de Sande, 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. Teo
    Teo is a Korean surname and given name whose spelling reflects a particular system of romanizing Korean characters.
  • C. Theodore
    Theodore is a masculine given name of Greek origin, meaning "gift of God," from which the nickname Ted is derived.
  • D. Théo
    Théo is a French given name, typically a short form of Théodore, commonly used for boys in French-speaking countries.
  • E. Teoh
    Teoh is a romanized Chinese surname, commonly used as a variant spelling of "Zhang" in Southeast Asia.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1833a5aa88190a5cc3f82d55f5b62 completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbd1cafc81909125174eed475d55 completed May 10, 2026, 1:13 a.m.
Created at: April 10, 2026, 4:56 a.m.