Triple

T11722409
Position Surface form Disambiguated ID Type / Status
Subject The Nose E278669 entity
Predicate notableFeature P105 FINISHED
Object includes the Changing Corners pitch E278662 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: includes the Changing Corners pitch | Statement: [The Nose, notableFeature, includes the Changing Corners pitch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: includes the Changing Corners pitch
Context triple: [The Nose, notableFeature, includes the Changing Corners pitch]
  • A. Changing Corners chosen
    Changing Corners is a notable feature associated with the character The Nose, recognized for its distinctive and memorable role in defining that character’s identity.
  • B. Round Every Corner
    "Round Every Corner" is a 1965 pop song recorded by British singer Petula Clark that reflects the upbeat, optimistic style of her mid-1960s hits.
  • C. Magic Corner
    Magic Corner is an attraction zone within the Trans Studio Makassar indoor theme park, offering themed entertainment and rides for visitors.
  • D. Brighten the Corners
    Brighten the Corners is a 1997 indie rock album by American band Pavement, noted for its more polished sound and witty, offbeat songwriting.
  • E. Cornershop
    Cornershop is an on-demand grocery delivery service, originally founded in Latin America, that connects users with local supermarkets and retailers through a mobile app and web platform.
  • 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4c373088190bc2ae77a1696d280 completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef83c8ac2c8190b3bba7db42734f3a completed April 27, 2026, 3:42 p.m.
Created at: April 8, 2026, 9:40 p.m.