Triple

T5367426
Position Surface form Disambiguated ID Type / Status
Subject Island Beneath the Sea E103163 entity
Predicate originalTitle P65 FINISHED
Object La isla bajo el mar E103163 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: La isla bajo el mar | Statement: [Island Beneath the Sea, originalTitle, La isla bajo el mar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La isla bajo el mar
Context triple: [Island Beneath the Sea, originalTitle, La isla bajo el mar]
  • A. The Reef
    The Reef is a 1912 novel by Edith Wharton that explores complex romantic and social entanglements among upper-class Americans and Europeans.
  • B. Island Beneath the Sea chosen
    Island Beneath the Sea is a historical novel by Isabel Allende that follows the life of an enslaved woman in late 18th-century Saint-Domingue (Haiti) amid revolution and upheaval.
  • C. The Living Sea
    The Living Sea is a 1963 documentary film co-directed by Jacques-Yves Cousteau that explores marine life and oceanographic research aboard his ship Calypso.
  • D. The Deep
    The Deep is a 1976 adventure novel by Peter Benchley that follows a young couple who discover dangerous secrets and sunken treasure while diving near Bermuda.
  • E. The Deep
    The Deep is a striking futuristic aquarium and marine research center in Kingston upon Hull, England, known for its dramatic architecture and extensive collection of marine life.
  • 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_69bd43daa3e4819090b59d127db70e57 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd8684103081908ed79625b59e4b24 completed March 20, 2026, 5:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf2928859881908ac238feca132d07 completed March 21, 2026, 11:26 p.m.
Created at: March 20, 2026, 2:02 p.m.