Triple

T10047297
Position Surface form Disambiguated ID Type / Status
Subject Arielle Kebbel E207647 entity
Predicate notableWork P4 FINISHED
Object Aquamarine E227373 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: Aquamarine | Statement: [Arielle Kebbel, notableWork, Aquamarine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aquamarine
Context triple: [Arielle Kebbel, notableWork, Aquamarine]
  • A. Aquamarine chosen
    Aquamarine is a blue to blue-green variety of the mineral beryl, prized as a gemstone for its clear, sea-colored appearance.
  • B. Sapphire
    Sapphire is an American author best known for her novel "Push," which was adapted into the acclaimed film "Precious."
  • C. Sapphire
    Sapphire is a 1959 British crime drama film that explores racial tensions and prejudice in London through the investigation of a young woman's murder.
  • D. Sapphire
    Sapphire is a precious gemstone variety of the mineral corundum, typically blue, valued for its hardness, brilliance, and use in fine jewelry and industrial applications.
  • E. Emerald
    Emerald is a rural town in Central Queensland, Australia, known as a regional service and education hub for the surrounding agricultural and mining communities.
  • 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_69ca835ad0608190b7c80b292da004f5 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcf664dd881908786fcd802bf10da completed April 2, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d282888bac81909ccb5db5724c416d completed April 5, 2026, 3:40 p.m.
Created at: March 30, 2026, 8:56 p.m.