Triple

T8763512
Position Surface form Disambiguated ID Type / Status
Subject Angel in Disguise E208264 entity
Predicate recordLabel P1500 FINISHED
Object Atlantic E220111 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: Atlantic | Statement: [Angel in Disguise, recordLabel, Atlantic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atlantic
Context triple: [Angel in Disguise, recordLabel, Atlantic]
  • A. Atlantic chosen
    Atlantic is a major American record label known for signing and promoting influential artists across R&B, rock, and pop music.
  • B. Atlantic Ocean
    The Atlantic Ocean is the world's second-largest ocean, separating the Americas from Europe and Africa and serving as a major route for global climate regulation, trade, and exploration.
  • C. Atlantique
    Atlantique is a small, laid-back beach community on Fire Island, New York, known for its quiet residential character and easy access to the ocean and Great South Bay.
  • D. The Atlantic
    The Atlantic is a long-running American magazine and multi-platform media outlet known for its in-depth journalism, cultural commentary, and analysis of politics and current events.
  • E. Pacific
    Pacific is a type of steam locomotive wheel arrangement, typically featuring a 4-6-2 configuration widely used for express passenger services.
  • 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_69ca835df7e08190ac875664cca8f9ca completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5dfc85e481909a7ce80c5022e6e9 completed March 31, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f10aea48190bb63a4b2fdd72338 completed April 3, 2026, 7:41 a.m.
Created at: March 30, 2026, 6:40 p.m.