Triple

T15358011
Position Surface form Disambiguated ID Type / Status
Subject Warner Animation Group E367211 entity
Predicate hasBrand P1500 FINISHED
Object WAG
WAG is the branding name used for the Warner Animation Group, the feature animation division of Warner Bros. responsible for producing theatrical animated films.
 E1153486 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: WAG | Statement: [Warner Animation Group, hasBrand, WAG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WAG
Context triple: [Warner Animation Group, hasBrand, WAG]
  • A. WAWA
    WAWA is the station code for Wawa railway station, a train stop located in Wawa, New South Wales, Australia.
  • B. VWAG
    VWAG is the stock ticker symbol under which the multinational automotive manufacturer Volkswagen Group is publicly traded.
  • C. WUG
    WUG is the vehicle registration code for the Weißenburg-Gunzenhausen district in Middle Franconia, Bavaria, Germany.
  • D. Wa
    Wa is a town in northwestern Ghana that serves as an administrative, commercial, and cultural hub for the surrounding region.
  • E. Wa
    Wa is an ancient Chinese exonym historically used to refer to the people and early polities of the Japanese archipelago.
  • 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: WAG
Triple: [Warner Animation Group, hasBrand, WAG]
Generated description
WAG is the branding name used for the Warner Animation Group, the feature animation division of Warner Bros. responsible for producing theatrical animated films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WAG
Target entity description: WAG is the branding name used for the Warner Animation Group, the feature animation division of Warner Bros. responsible for producing theatrical animated films.
  • A. WAWA
    WAWA is the station code for Wawa railway station, a train stop located in Wawa, New South Wales, Australia.
  • B. VWAG
    VWAG is the stock ticker symbol under which the multinational automotive manufacturer Volkswagen Group is publicly traded.
  • C. WUG
    WUG is the vehicle registration code for the Weißenburg-Gunzenhausen district in Middle Franconia, Bavaria, Germany.
  • D. Wa
    Wa is a town in northwestern Ghana that serves as an administrative, commercial, and cultural hub for the surrounding region.
  • E. Wa
    Wa is an ancient Chinese exonym historically used to refer to the people and early polities of the Japanese archipelago.
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e2d4934819097fc63603964217c completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b45e3048190a7fa62ead6916fed completed May 9, 2026, 10:24 a.m.
NEDg Description generation batch_69ff0f400ec08190961c63f957efe107 completed May 9, 2026, 10:41 a.m.
NED2 Entity disambiguation (via description) batch_69ff0fbef36081908a0f6317a32f9c28 completed May 9, 2026, 10:43 a.m.
Created at: April 10, 2026, 3:18 a.m.