Triple

T17157583
Position Surface form Disambiguated ID Type / Status
Subject Yeah Yeah Yeahs E416383 entity
Predicate notableSong P4 FINISHED
Object Maps E782292 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: Maps | Statement: [Yeah Yeah Yeahs, notableSong, Maps]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maps
Context triple: [Yeah Yeah Yeahs, notableSong, Maps]
  • A. Maps chosen
    Maps is Apple's native mapping and navigation application that provides turn-by-turn directions, points of interest, and integrated location services across its devices.
  • B. Map
    Map is a 1961 painting by American artist Jasper Johns that depicts a large, abstracted map of the United States using his characteristic blend of recognizable imagery and painterly experimentation.
  • C. MAP
    MAP was the abbreviated name used for the United Kingdom’s Ministry of Aircraft Production, the World War II government department responsible for overseeing and increasing aircraft manufacturing.
  • D. MAP
    MAP (Mobile Application Part) is a telecommunications protocol used in Signaling System No. 7 networks to support mobile services such as roaming, authentication, and SMS.
  • E. Maps and Legends
    Maps and Legends is a nonfiction collection of essays by Michael Chabon that explores genre fiction, storytelling, and popular culture.
  • 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_69d886d279c081909f8ff1f743ddeb69 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f40bf9ec8190b16372bcd091db9b completed April 18, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0148356a8081909d0c82db32b3a744 completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:37 a.m.