Triple

T14394579
Position Surface form Disambiguated ID Type / Status
Subject RubyMine E356922 entity
Predicate programmingLanguageSupported P16240 FINISHED
Object Slim E436323 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: Slim | Statement: [RubyMine, programmingLanguageSupported, Slim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Slim
Context triple: [RubyMine, programmingLanguageSupported, Slim]
  • A. Slim chosen
    Slim is a lightweight Ruby templating engine known for its minimal syntax and fast rendering performance.
  • B. Slim
    Slim is the nickname of Slim Keith, a prominent American socialite and fashion icon of the mid-20th century known for her influence in high society and style.
  • C. Slim
    Slim is the surname of Bill Slim, a prominent British field marshal who played a key leadership role in the Burma Campaign during World War II.
  • D. Slim
    Slim is a character associated with Rosie, likely serving as a close companion or supportive ally in their shared narrative.
  • E. Slim
    Slim is the surname of Carlos Slim Helú, the Mexican business magnate and one of the world's richest individuals.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de902d114881908a8f3c01b3c6d309 completed April 14, 2026, 7:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd551b006c8190b84449f2e2b59b62 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:16 a.m.