Triple

T1373288
Position Surface form Disambiguated ID Type / Status
Subject Memphis Grizzlies E30161 entity
Predicate nickname P55 FINISHED
Object Grizz E158113 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: Grizz | Statement: [Memphis Grizzlies, nickname, Grizz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grizz
Context triple: [Memphis Grizzlies, nickname, Grizz]
  • A. Grizz (Grizzlies mascot) chosen
    Grizz is the energetic and entertaining bear mascot of the NBA’s Memphis Grizzlies, known for hyping up crowds with stunts, dances, and fan interactions at games.
  • B. Blitzen
    Blitzen is one of Santa Claus's legendary flying reindeer, traditionally depicted as helping pull his sleigh on Christmas Eve.
  • C. Cougars
    Cougars is the nickname used by the former American Basketball Association team known as the Carolina Cougars.
  • D. Huskies
    Huskies is the nickname for the athletic teams representing Northeastern University in Boston, Massachusetts.
  • E. Huskies
    Huskies is the nickname for the University of Saskatchewan’s varsity athletic teams.
  • 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_69a498f912008190a376a98b207b2071 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c2f4889881908103473a0173e23f completed March 1, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69acde1a576c81909379c2c0e350cd12 completed March 8, 2026, 2:25 a.m.
Created at: March 1, 2026, 7:57 p.m.