Triple

T4596090
Position Surface form Disambiguated ID Type / Status
Subject Quicksort E100207 entity
Predicate alsoKnownAs P39 FINISHED
Object quick sort E100207 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: quick sort | Statement: [Quicksort, alsoKnownAs, quick sort]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: quick sort
Context triple: [Quicksort, alsoKnownAs, quick sort]
  • A. Quicksort chosen
    Quicksort is a highly efficient, comparison-based sorting algorithm that uses a divide-and-conquer strategy and is widely employed in computer science and software systems.
  • B. Quick
    Quick is the fast-talking, street-smart protagonist played by Eddie Murphy in the 1989 crime-comedy film "Harlem Nights."
  • C. QUIÑ
    QUIÑ is an American R&B and soul singer-songwriter known for her ethereal, spacey sound and collaborations with artists like Masego and G-Eazy.
  • D. SCQP
    SCQP is the ICAO airport code for La Araucanía International Airport in Chile.
  • E. Quickie
    "Quickie" is a song featured on the album "All I Want Is You" by American singer Miguel.
  • 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_69bd43cbc014819098b45f435908f88a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd594055dc8190a50f1b4be2be1ba0 completed March 20, 2026, 2:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa4552148190be200be028ef3fdd completed March 21, 2026, 1:54 a.m.
Created at: March 20, 2026, 1:11 p.m.