Triple

T5311543
Position Surface form Disambiguated ID Type / Status
Subject April in Paris E119041 entity
Predicate notableTrack P8087 FINISHED
Object Corner Pocket E506912 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: Corner Pocket | Statement: [April in Paris, notableTrack, Corner Pocket]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Corner Pocket
Context triple: [April in Paris, notableTrack, Corner Pocket]
  • A. Corner Pocket chosen
    "Corner Pocket" is a classic swing-era jazz composition closely associated with the Count Basie Orchestra, known for its driving rhythm, bluesy feel, and iconic big band arrangement.
  • B. Candlepin
    Candlepin is a subscription management service that tracks and enforces software entitlements for Red Hat and related systems.
  • C. Horseshoe
    Horseshoe is a well-known casino and racetrack brand in the United States, recognized for its gambling, entertainment, and hospitality offerings.
  • D. Pac-Man
    Pac-Man is a classic arcade video game character created by Namco, known for navigating mazes while eating pellets and avoiding ghosts.
  • E. Pacman
    Pacman is a lightweight, command-line package manager originally developed for Arch Linux, known for its speed and simple binary package handling.
  • 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_69bd446b57bc8190a513d2e6c40314f3 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd8535a1ec819094b2c5d3cfc57f56 completed March 20, 2026, 5:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf11033c448190ab64600913ee8a9c completed March 21, 2026, 9:43 p.m.
Created at: March 20, 2026, 1:53 p.m.