Triple

T4547905
Position Surface form Disambiguated ID Type / Status
Subject Colloquia E110089 entity
Predicate hasPart P35 FINISHED
Object The Shipwreck E418426 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: The Shipwreck | Statement: [Colloquia, hasPart, The Shipwreck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Shipwreck
Context triple: [Colloquia, hasPart, The Shipwreck]
  • A. The Shipwreck chosen
    The Shipwreck is a dramatic 18th-century maritime painting by French artist Joseph Vernet, renowned for its vivid depiction of storm-tossed seas and human struggle against nature.
  • B. The Ship
    The Ship is an informal nickname for the TARDIS, the Doctor’s time-traveling spacecraft and time machine in the long-running British science fiction series Doctor Who.
  • C. Ship to Wreck
    "Ship to Wreck" is a 2015 indie rock song by Florence and the Machine, known for its nautical metaphors and exploration of self-destructive behavior within relationships.
  • D. The Ghost Ship
    The Ghost Ship is a 2002 supernatural horror film known for its eerie atmosphere, gruesome opening sequence, and Karl Urban’s supporting role in the doomed salvage crew.
  • E. The Ghost Ship
    The Ghost Ship is a 1943 American psychological thriller film about sinister events aboard a merchant vessel, produced by Val Lewton for RKO Pictures.
  • 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_69bd4412524c8190be5bcc9ddee91848 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57f272248190983ae439bd0ac0cc completed March 20, 2026, 2:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdb945bd3881908e6c3f5f91b5f38e completed March 20, 2026, 9:16 p.m.
Created at: March 20, 2026, 1:05 p.m.