Triple

T2113802
Position Surface form Disambiguated ID Type / Status
Subject Pageant E42561 entity
Predicate usedWith P4791 FINISHED
Object Plink E42563 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: Plink | Statement: [Pageant, usedWith, Plink]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Plink
Context triple: [Pageant, usedWith, Plink]
  • A. Plink chosen
    Plink is a command-line network connection tool that forms part of the PuTTY suite, commonly used for automating SSH and other remote sessions.
  • B. Piipaash
    Piipaash are a Native American people of the lower Colorado River region, closely related to the Maricopa and known for their distinct language and cultural traditions.
  • C. Pikiell
    Pikiell is the surname of Steve Pikiell, an American college basketball coach best known for leading the Rutgers Scarlet Knights men's basketball program.
  • D. Gra
    Gra, an acronym for the Vilna Gaon (Rabbi Elijah ben Solomon Zalman), was an 18th-century Lithuanian Jewish sage renowned for his profound Talmudic, halachic, and Kabbalistic scholarship.
  • E. Pallette
    Pallette is a surname most notably associated with American character actor Eugene Pallette, known for his distinctive gravelly voice and roles in classic Hollywood films of the 1930s and 1940s.
  • 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_69a8871040f08190aac2e2d0ab6b47ad completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbb05b51c81908a78c816f492c45c completed March 7, 2026, 5:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae30748a7c81908ab3e08b7aa9900a completed March 9, 2026, 2:29 a.m.
Created at: March 4, 2026, 7:43 p.m.