Triple

T23317809
Position Surface form Disambiguated ID Type / Status
Subject Giovanni Simeone E590757 entity
Predicate playedFor P2170 FINISHED
Object Banfield NE NERFINISHED

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: Banfield | Statement: [Giovanni Simeone, playedFor, Banfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banfield
Context triple: [Giovanni Simeone, playedFor, Banfield]
  • A. Banfield chosen
    Banfield is an Argentine professional football club based in the city of Banfield, in Greater Buenos Aires.
  • B. Redrover International
    Redrover International is a South Korean animation and production company known for its work on feature-length animated films such as "The Nut Job."
  • C. Foster Hospital for Small Animals
    Foster Hospital for Small Animals is a major veterinary teaching and referral hospital at Tufts University’s Cummings School, providing advanced medical and surgical care for companion animals.
  • D. Petco
    Petco is a major American pet specialty retail company known for selling pet food, supplies, and services through its nationwide chain of stores and online platforms.
  • E. Veterinarian’s Hospital
    Veterinarian’s Hospital is a recurring parody sketch on The Muppet Show that spoofs medical dramas with comedic chaos in a hospital setting.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e25d1d32188190948eb76909d1dcc3 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f197828c408190ae071624e40de4cc completed April 29, 2026, 5:30 a.m.
Created at: April 17, 2026, 5:06 p.m.