Triple

T9426579
Position Surface form Disambiguated ID Type / Status
Subject Evermore E227276 entity
Predicate producer P490 FINISHED
Object WB
WB is a major film and entertainment studio best known for producing and distributing movies, television shows, and other media worldwide.
E798509 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: WB | Statement: [Evermore, producer, WB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WB
Context triple: [Evermore, producer, WB]
  • A. WB
    WB is the official vehicle registration code used for motor vehicles registered in the Indian state of West Bengal.
  • B. BW
    BW is the station code for Borsigwerke, a Berlin U-Bahn station on line U6 in the Reinickendorf district of Germany’s capital.
  • C. BW
    BW is the common abbreviation for the Dutch Civil Code, the primary body of private law in the Netherlands.
  • D. WC
    WC is an American West Coast rapper known for his distinctive gravelly voice, solo work, and as a member of the hip hop supergroup Westside Connection.
  • E. WC
    WC is the standard abbreviation for Western Command, a regional military command formation.
  • 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: WB
Triple: [Evermore, producer, WB]
Generated description
WB is a major film and entertainment studio best known for producing and distributing movies, television shows, and other media worldwide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: WB
Target entity description: WB is a major film and entertainment studio best known for producing and distributing movies, television shows, and other media worldwide.
  • A. WB
    WB is the official vehicle registration code used for motor vehicles registered in the Indian state of West Bengal.
  • B. BW
    BW is the station code for Borsigwerke, a Berlin U-Bahn station on line U6 in the Reinickendorf district of Germany’s capital.
  • C. BW
    BW is the common abbreviation for the Dutch Civil Code, the primary body of private law in the Netherlands.
  • D. WC
    WC is the standard abbreviation for Western Command, a regional military command formation.
  • E. WC
    WC is an American West Coast rapper known for his distinctive gravelly voice, solo work, and as a member of the hip hop supergroup Westside Connection.
  • 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_69ca8436ba308190903e470776d2d893 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7c908738819081df35c632f35f04 completed April 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107dd5bcc8190b3f0fdecf296fe29 completed April 4, 2026, 12:45 p.m.
NEDg Description generation batch_69d10890519c8190a1affc040c1d6a8f completed April 4, 2026, 12:48 p.m.
NED2 Entity disambiguation (via description) batch_69d108f10fb48190968ae57799dd017c completed April 4, 2026, 12:49 p.m.
Created at: March 30, 2026, 7:49 p.m.