Triple

T12772613
Position Surface form Disambiguated ID Type / Status
Subject Florence Welch E305283 entity
Predicate notableSong P4 FINISHED
Object Ship to Wreck E337934 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: Ship to Wreck | Statement: [Florence Welch, notableSong, Ship to Wreck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ship to Wreck
Context triple: [Florence Welch, notableSong, Ship to Wreck]
  • A. Ship to Wreck chosen
    "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.
  • B. The Shipwreck
    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.
  • C. Shipwreck Shore
    Shipwreck Shore is a nautical-themed play and exploration area in Shanghai Disneyland’s Treasure Cove land, featuring interactive water elements and shipwreck scenery.
  • 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. Lightship Overfalls
    Lightship Overfalls is a historic lightship museum moored in Lewes, Delaware, that once served as a floating lighthouse to aid maritime navigation.
  • 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96df5b68481908a5d40516b09be52 completed April 10, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684fcd4b48190ab610efffcbd1546 completed May 2, 2026, 11:13 p.m.
Created at: April 9, 2026, 5:28 p.m.