Triple

T19407977
Position Surface form Disambiguated ID Type / Status
Subject Godfrey de Saint-Omer E485511 entity
Predicate activeIn P1560 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: [Godfrey de Saint-Omer, activeIn, Outremer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Outremer
Context triple: [Godfrey de Saint-Omer, activeIn, 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 1946 novel by French author Henri Bosco that explores themes of childhood, imagination, and the mysterious power of nature along the Mediterranean coast.
  • D. The Sea
    The Sea is a painting by British artist L. S. Lowry, known for its minimalist seascape composition and characteristic muted palette.
  • 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e62af331108190b6b25ef8f386826e completed April 20, 2026, 1:32 p.m.
Created at: April 10, 2026, 1:36 p.m.