Triple

T14685189
Position Surface form Disambiguated ID Type / Status
Subject Darren Lockyer E344890 entity
Predicate nickname P55 FINISHED
Object Locky E344890 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: Locky | Statement: [Darren Lockyer, nickname, Locky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Locky
Context triple: [Darren Lockyer, nickname, Locky]
  • A. Locky chosen
    Locky is the widely used nickname of Darren Lockyer, one of Australia's most celebrated rugby league players and long-time Brisbane Broncos and Queensland Maroons star.
  • B. Melissa virus
    The Melissa virus was a notorious mass-mailing macro virus from 1999 that spread via infected Microsoft Word documents and caused widespread disruption to email systems worldwide.
  • C. Threatz
    "Threatz" is a hard-hitting, aggressive hip-hop track by Denzel Curry that helped establish his reputation in the underground rap scene.
  • D. ILOVEYOU worm
    The ILOVEYOU worm was a notorious early-2000s email-borne computer worm that rapidly spread worldwide, causing massive damage by overwriting files and exploiting users’ trust with a deceptive love-letter subject line.
  • E. The Kaseya
    The Kaseya is the commonly used nickname for Kaseya Center, a major indoor sports and entertainment arena in Miami, Florida.
  • 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb56bdb8081909ff86440ba20fb1f completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde18592088190892ae1cc371165be completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:28 a.m.