Triple

T1660657
Position Surface form Disambiguated ID Type / Status
Subject Helen Garner E35895 entity
Predicate wrote P2831 FINISHED
Object Cosmo Cosmolino E188701 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: Cosmo Cosmolino | Statement: [Helen Garner, wrote, Cosmo Cosmolino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cosmo Cosmolino
Context triple: [Helen Garner, wrote, Cosmo Cosmolino]
  • A. Cosmo Cosmolino chosen
    Cosmo Cosmolino is a novel by Australian writer Helen Garner that blends gritty realism with elements of the supernatural to explore the lives and relationships of a group of inner-city Melbourne characters.
  • B. Cosmo Brown
    Cosmo Brown is the wisecracking, musically gifted best friend and sidekick to Don Lockwood in the classic Hollywood musical film "Singin' in the Rain."
  • C. Marcello
    Marcello is a masculine given name of Italian origin, commonly used in Italy and other Romance-language countries.
  • D. Bruno
    Bruno is a masculine given name of Germanic origin, commonly used in various European and Latin American countries.
  • E. Pasquale
    Pasquale is an Italian masculine given name, traditionally associated with figures of Corsican and Italian heritage such as Pasquale Paoli.
  • 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_69a88606aa808190aa0b421b4271f220 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90ab2a3488190a67c110a70d652c9 completed March 5, 2026, 4:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad71ab0ea0819099662964aab9609e completed March 8, 2026, 12:55 p.m.
Created at: March 4, 2026, 7:29 p.m.