Triple

T11379015
Position Surface form Disambiguated ID Type / Status
Subject Evan Ross E269542 entity
Predicate givenName P17 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: [Evan Ross, givenName, Evan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Evan
Context triple: [Evan Ross, givenName, 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7fc30f5d48190bb273df4c9e583a9 completed April 9, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e556a10f988190b173dc4880a8c6c6 completed April 19, 2026, 10:26 p.m.
Created at: April 8, 2026, 9:33 p.m.