Triple

T6332869
Position Surface form Disambiguated ID Type / Status
Subject Superbad E142422 entity
Predicate mainCharacter P1183 FINISHED
Object Evan E126478 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: Evan | Statement: [Superbad, mainCharacter, Evan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Evan
Context triple: [Superbad, mainCharacter, Evan]
  • A. Evan chosen
    Evan is a masculine given name of Welsh origin meaning "the Lord is gracious," commonly used in English-speaking countries.
  • B. Evan Richards
    Evan Richards is an American actor best known for his role in the film "Down and Out in Beverly Hills" and various television appearances in the 1980s and 1990s.
  • C. Evan Shelby
    Evan Shelby was a colonial-era frontiersman and militia officer in the American South, best known as the father of Revolutionary War hero and Kentucky’s first governor, Isaac Shelby.
  • D. Evan Buckley
    Evan Buckley is a central firefighter character on the television drama "9-1-1," known for his bravery, impulsive nature, and emotionally driven storylines.
  • E. Ethan
    Ethan is a masculine given name of Hebrew origin meaning "strong," "firm," or "enduring," widely used in English-speaking countries.
  • 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_69c008d4d8e88190ad301c05b08722ac completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06517a1e88190a0bfcac8a7e3a305 completed March 22, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c60424a5dc8190820970fce13776ac completed March 27, 2026, 4:14 a.m.
Created at: March 22, 2026, 4:30 p.m.