Triple

T13107379
Position Surface form Disambiguated ID Type / Status
Subject Felix Jaehn E310878 entity
Predicate associatedAct P37 FINISHED
Object Alma unclear NED1 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: Alma | Statement: [Felix Jaehn, associatedAct, Alma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alma
Context triple: [Felix Jaehn, associatedAct, Alma]
  • A. Alma
    Alma is a historic British Army battle honour commemorating the Battle of the Alma in the Crimean War.
  • B. Alma
    Alma is a feminine given name of Latin origin meaning "nourishing" or "kind," used in various cultures around the world.
  • C. Alma
    Alma is a historic wooden scow schooner preserved as a museum ship in San Francisco, representing the city’s 19th- and early 20th-century maritime commerce.
  • D. Alma
    Alma is a small industrial and service city in Quebec, Canada, located in the Saguenay–Lac-Saint-Jean region and known for its aluminum production and proximity to Lac Saint-Jean.
  • E. Alma Jr.
    Alma Jr. is a fictional character from the film and short story "Brokeback Mountain," the daughter of Ennis Del Mar and Alma Beers Del Mar.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9817ce07881909ec552bf861ac175 completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e27a325c8190a5c0f1a582340078 completed May 3, 2026, 5:51 a.m.
Created at: April 9, 2026, 9:05 p.m.