Triple

T18901034
Position Surface form Disambiguated ID Type / Status
Subject The Ship Who Sang E462339 entity
Predicate containsStory P6847 FINISHED
Object The Ship Who Killed NE NERFINISHED

How this triple was built (3 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: The Ship Who Killed | Statement: [The Ship Who Sang, containsStory, The Ship Who Killed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Ship Who Killed
Context triple: [The Ship Who Sang, containsStory, The Ship Who Killed]
  • A. The Ship That Would Not Die
    The Ship That Would Not Die is the famed nickname of the World War II destroyer USS Laffey, renowned for surviving an intense and prolonged kamikaze and bomb attack off Okinawa.
  • B. The Ship That Died of Shame
    The Ship That Died of Shame is a 1955 British crime drama film about former Royal Navy officers who use their wartime motor gun boat for smuggling, only to see it seemingly “lose heart” as their activities grow more corrupt.
  • C. The Seafarers
    The Seafarers is a 1953 short documentary film and one of Stanley Kubrick’s early non-fiction works, focusing on the lives and organization of merchant seamen.
  • D. The Wreck
    The Wreck is a popular surf break off Byron Bay, Australia, known for the shipwreck that shapes its waves and distinctive lineup.
  • E. The Ship Who Sang
    The Ship Who Sang is a science fiction novel by Anne McCaffrey about a severely disabled girl whose brain is integrated into a starship, exploring themes of identity, autonomy, and humanity.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The Ship Who Killed
Target entity description: The Ship Who Killed is a science fiction story by Anne McCaffrey set in her Brainship universe, following a human mind integrated into a starship as it confronts moral and existential challenges.
  • A. The Ship That Would Not Die
    The Ship That Would Not Die is the famed nickname of the World War II destroyer USS Laffey, renowned for surviving an intense and prolonged kamikaze and bomb attack off Okinawa.
  • B. The Ship That Died of Shame
    The Ship That Died of Shame is a 1955 British crime drama film about former Royal Navy officers who use their wartime motor gun boat for smuggling, only to see it seemingly “lose heart” as their activities grow more corrupt.
  • C. The Seafarers
    The Seafarers is a 1953 short documentary film and one of Stanley Kubrick’s early non-fiction works, focusing on the lives and organization of merchant seamen.
  • D. The Wreck
    The Wreck is a popular surf break off Byron Bay, Australia, known for the shipwreck that shapes its waves and distinctive lineup.
  • E. The Ship Who Sang chosen
    The Ship Who Sang is a science fiction novel by Anne McCaffrey about a severely disabled girl whose brain is integrated into a starship, exploring themes of identity, autonomy, and humanity.
  • F. None of above.

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_69d8dcfd05bc819088903cca13cc2846 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c52954bc8190a237627c09615ac1 completed April 20, 2026, 6:18 a.m.
Created at: April 10, 2026, 11:58 a.m.