Triple

T5052595
Position Surface form Disambiguated ID Type / Status
Subject Time to Say Goodbye E113821 entity
Predicate recordLabel P1500 FINISHED
Object WEA E117366 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: WEA | Statement: [Time to Say Goodbye, recordLabel, WEA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WEA
Context triple: [Time to Say Goodbye, recordLabel, WEA]
  • A. WEA
    WEA is the acronym for the World Evangelical Alliance, a global network that connects and represents evangelical churches and organizations worldwide.
  • B. WEA
    WEA is a U.S. nationwide public safety system that delivers government-issued emergency alerts to compatible mobile devices.
  • C. WEA Inc. chosen
    WEA Inc. was the former distribution and marketing arm of Warner Music Group, handling the global release of the company’s recorded music.
  • D. WECA
    WECA is the former name of the Wi‑Fi Alliance, the global industry consortium that develops and certifies Wi‑Fi standards and interoperability.
  • E. WEOG
    WEOG is the United Nations’ regional group for Western European and other like-minded states, used primarily for consultations and the allocation of seats in UN bodies.
  • 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_69bd443aa1f88190abb992d138f2cf42 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7428d7a88190b990aedae390acbe completed March 20, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea486b394819082ea80694843b29e completed March 21, 2026, 2 p.m.
Created at: March 20, 2026, 1:37 p.m.