Triple

T20772359
Position Surface form Disambiguated ID Type / Status
Subject Lieutenant Theo Kojak E511267 entity
Predicate givenName P17 FINISHED
Object Theo NE NERFINISHED

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: [Lieutenant Theo Kojak, givenName, Theo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Theo
Context triple: [Lieutenant Theo Kojak, 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. Theodore
    Theodore is a small rural town in Queensland, Australia, known for its agricultural activities and close-knit community within the Banana Shire region.
  • E. Theodore
    Theodore is a small rural town in Queensland, Australia, known for its agricultural community and proximity to the Dawson River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4ca01148190ac018e57e0cab46f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2681ff88190bfe5938c2db6b2c4 completed April 21, 2026, 12:18 a.m.
Created at: April 16, 2026, 12:37 p.m.