Triple

T12957625
Position Surface form Disambiguated ID Type / Status
Subject cruisers of Force H E310057 entity
Predicate composition P87 FINISHED
Object HMS Hermione E491835 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: HMS Hermione | Statement: [cruisers of Force H, composition, HMS Hermione]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HMS Hermione
Context triple: [cruisers of Force H, composition, HMS Hermione]
  • A. HMS Hermione chosen
    HMS Hermione was a British Royal Navy Dido-class light cruiser that served in the Mediterranean during World War II before being sunk by a German U-boat in 1942.
  • B. HMS Obedient
    HMS Obedient was a Royal Navy destroyer that served during World War II, notably participating in Arctic convoy operations against German naval forces.
  • C. HMS Bellona
    HMS Bellona is a fictional Royal Navy ship of the line featured in Patrick O’Brian’s Aubrey–Maturin series of historical naval novels.
  • D. HMS Hero
    HMS Hero was a Royal Navy destroyer that served during World War II, taking part in several Mediterranean operations and convoy escorts.
  • E. HMS Hero
    HMS Hero was a Royal Navy ship of the line that served during the Napoleonic Wars, notably participating in major naval engagements against the French fleet.
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e2c5bf481908ca6adcfd3354f71 completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed314bb9481908144c5399aa62ffa completed May 9, 2026, 6:24 a.m.
Created at: April 9, 2026, 5:44 p.m.