Triple

T3787099
Position Surface form Disambiguated ID Type / Status
Subject Pengi and Sommi E85553 entity
Predicate hasProtagonist P8706 FINISHED
Object Pengi E389318 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: Pengi | Statement: [Pengi and Sommi, hasProtagonist, Pengi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pengi
Context triple: [Pengi and Sommi, hasProtagonist, Pengi]
  • A. Pengi chosen
    Pengi is a fictional character, likely from a narrative or creative work, whose identity is associated with the duo "Pengi and Sommi."
  • B. Pangim
    Pangim, also known as Panaji, is the riverside city that serves as the administrative and cultural center of the Indian state of Goa.
  • C. Pialligo
    Pialligo is a suburb of Canberra in the Australian Capital Territory, known for its rural character, nurseries, and proximity to Canberra Airport.
  • D. Pooncarie
    Pooncarie is a small rural town in far south-west New South Wales, Australia, known for its remote outback setting and proximity to the Darling River.
  • E. Piershil
    Piershil is a small village in the Dutch province of South Holland, known for its rural character and location on the island of Hoeksche Waard.
  • 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_69aed937fa8881908208ef3801060826 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee42e430081908d032dcdcef20fc5 completed March 9, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb1c90648190a76cee07508a83b9 completed March 14, 2026, 6:07 a.m.
Created at: March 9, 2026, 3:13 p.m.