Triple

T20155172
Position Surface form Disambiguated ID Type / Status
Subject Tony Morphett E491540 entity
Predicate notableWork P4 FINISHED
Object Water Rats 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: Water Rats | Statement: [Tony Morphett, notableWork, Water Rats]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Water Rats
Context triple: [Tony Morphett, notableWork, Water Rats]
  • A. Water Rats
    Water Rats was the nickname given to the 3rd Canadian Infantry Division, renowned for its role in amphibious operations such as the D-Day landings in Normandy during World War II.
  • B. Water Rats chosen
    Water Rats is an Australian television police drama series set around Sydney Harbour, focusing on the work and lives of officers in the city's Water Police.
  • C. The River Rat
    The River Rat is a 1984 American adventure-drama film about an ex-convict bonding with his daughter during a perilous river journey, co-written by screenwriter Nelson Gidding.
  • D. Rat'lar
    Rat'lar is an alien warlord from the DC Comics special "Superman vs. Muhammad Ali," known for orchestrating a deadly interplanetary contest to test Earth's champions.
  • E. That Pesky Rat
    That Pesky Rat is a children's picture book by Lauren Child about a scruffy rat who dreams of becoming a cherished pet.
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667df7ac081908816d2d29e7c6513 completed April 20, 2026, 5:52 p.m.
Created at: April 11, 2026, 11:34 p.m.