Triple

T5264411
Position Surface form Disambiguated ID Type / Status
Subject Joe Keery E118903 entity
Predicate recordLabel P1500 FINISHED
Object AWAL
AWAL is a music distribution and services company that supports independent artists with digital releases, marketing, and data-driven promotion.
E507341 NE FINISHED

How this triple was built (4 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: AWAL | Statement: [Joe Keery, recordLabel, AWAL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AWAL
Context triple: [Joe Keery, recordLabel, AWAL]
  • A. AW
    AW is the two-letter ISO 3166-1 alpha-2 country code assigned to Aruba.
  • B. AW
    AW is a German vehicle registration code associated with the district that includes the town of Remagen in the state of Rhineland-Palatinate.
  • C. WAW
    WAW is the three-letter IATA airport code for Warsaw Chopin Airport, the primary international airport serving Warsaw, Poland.
  • D. WAWA
    WAWA is the station code for Wawa railway station, a train stop located in Wawa, New South Wales, Australia.
  • E. Begnins
    Begnins is a small municipality in the canton of Vaud in western Switzerland, situated in the La Côte wine-growing region between Lake Geneva and the Jura Mountains.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: AWAL
Triple: [Joe Keery, recordLabel, AWAL]
Generated description
AWAL is a music distribution and services company that supports independent artists with digital releases, marketing, and data-driven promotion.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: AWAL
Target entity description: AWAL is a music distribution and services company that supports independent artists with digital releases, marketing, and data-driven promotion.
  • A. AW
    AW is the two-letter ISO 3166-1 alpha-2 country code assigned to Aruba.
  • B. AW
    AW is a German vehicle registration code associated with the district that includes the town of Remagen in the state of Rhineland-Palatinate.
  • C. WAW
    WAW is the three-letter IATA airport code for Warsaw Chopin Airport, the primary international airport serving Warsaw, Poland.
  • D. WAWA
    WAWA is the station code for Wawa railway station, a train stop located in Wawa, New South Wales, Australia.
  • E. Begnins
    Begnins is a small municipality in the canton of Vaud in western Switzerland, situated in the La Côte wine-growing region between Lake Geneva and the Jura Mountains.
  • F. None of above. chosen

Provenance (5 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_69bd446a42c88190b7ecbef006561d55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7bd4a9888190a79ef8e64c764f86 completed March 20, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe8b787881909be9c01d1ba52561 completed March 21, 2026, 8:24 p.m.
NEDg Description generation batch_69beff76290c819099a08cd1d5397004 completed March 21, 2026, 8:28 p.m.
NED2 Entity disambiguation (via description) batch_69befffc0e388190a02624d4f466a2a9 completed March 21, 2026, 8:30 p.m.
Created at: March 20, 2026, 1:51 p.m.