Triple

T7694005
Position Surface form Disambiguated ID Type / Status
Subject Dr. Igor E174323 entity
Predicate treatsCharacter P44049 FINISHED
Object Zedka E174321 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: Zedka | Statement: [Dr. Igor, treatsCharacter, Zedka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zedka
Context triple: [Dr. Igor, treatsCharacter, Zedka]
  • A. Zedka chosen
    Zedka is a fellow patient in Paulo Coelho’s novel "Veronika Decides to Die," known for her struggle with depression and her role in challenging Veronika’s understanding of madness and freedom.
  • B. Zinovy
    Zinovy is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • C. Zed
    Zed is the stern, no-nonsense head of the secret government agency overseeing extraterrestrial activity in the "Men in Black" film series.
  • D. Zan
    Zan is a collective term for a group of closely related Kartvelian languages spoken primarily in western Georgia, including Mingrelian and Laz.
  • E. Kája
    Kája is a Czech diminutive form of the given name Karel.
  • 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_69c6995966348190939e6c37ba272c06 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702459f988190bf7087bf51d5317f completed March 27, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b4fda81881908144cebdd2696e63 completed March 29, 2026, 5:13 a.m.
Created at: March 27, 2026, 4:02 p.m.