Triple

T16374508
Position Surface form Disambiguated ID Type / Status
Subject Circle E397646 entity
Predicate notableWork P4 FINISHED
Object Circle 2 E995484 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: Circle 2 | Statement: [Circle, notableWork, Circle 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Circle 2
Context triple: [Circle, notableWork, Circle 2]
  • A. Circle II chosen
    Circle II is a musical work associated with producer and manager William E. McEuen, known for his contributions to American folk and country-rock music.
  • B. Circle III
    Circle III is a creative work associated with American film producer and music manager William E. McEuen, known for his projects in music and cinema.
  • C. Cerchio
    Cerchio is a small Italian town in the Abruzzo region, known for its location within the mountainous Sirente-Velino area.
  • D. K.R. Circle
    K.R. Circle is a prominent traffic junction and landmark in Mysuru, Karnataka, known for its central location and role in major city events and processions.
  • E. Black Circle
    Black Circle is a pioneering abstract painting by Kazimir Malevich that exemplifies his Suprematist movement through its stark geometric minimalism.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e319d6942081909616a2c6efee9967 completed April 18, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003561f83481909223c99bb83ebdf4 completed May 10, 2026, 7:36 a.m.
Created at: April 10, 2026, 5:08 a.m.