Triple

T20017649
Position Surface form Disambiguated ID Type / Status
Subject Latin East E494762 entity
Predicate alternativeName P39 FINISHED
Object Outremer NE NERFINISHED

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: Outremer | Statement: [Latin East, alternativeName, Outremer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Outremer
Context triple: [Latin East, alternativeName, Outremer]
  • A. Outremer chosen
    Outremer was the collective name for the Crusader states established by Western European Christians in the Levant during the Middle Ages.
  • B. The Seas
    The Seas is an ocean-themed pavilion and aquarium attraction at EPCOT in Walt Disney World, featuring marine life exhibits and the Finding Nemo franchise.
  • C. The Sea
    "The Sea" is a serene, atmospheric seascape painting by American tonalist artist Dwight William Tryon, celebrated for its subtle color harmonies and meditative mood.
  • D. The Sea
    The Sea is a 1946 novel by French author Henri Bosco that explores themes of childhood, imagination, and the mysterious power of nature along the Mediterranean coast.
  • E. The Sea
    "The Sea" is a 2013 British-Irish drama film adaptation of John Banville’s novel, following a grieving man who returns to a seaside town from his childhood to confront his past.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6623d76808190988990a8dc263ef7 completed April 20, 2026, 5:28 p.m.
Created at: April 11, 2026, 3:34 p.m.