Triple

T11386904
Position Surface form Disambiguated ID Type / Status
Subject Quick Draw McGraw E269734 entity
Predicate hasAlterEgo P39 FINISHED
Object El Kabong
El Kabong is the masked, guitar-swinging vigilante alter ego of the cartoon horse sheriff Quick Draw McGraw from classic Hanna-Barbera animations.
E923081 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: El Kabong | Statement: [Quick Draw McGraw, hasAlterEgo, El Kabong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: El Kabong
Context triple: [Quick Draw McGraw, hasAlterEgo, El Kabong]
  • A. Kabale
    Kabale is a town in southwestern Uganda that serves as a key regional center and gateway to nearby attractions such as Bwindi Impenetrable National Park.
  • B. Khoni
    Khoni is a small town in western Georgia’s Imereti region, known for its historical churches and surrounding natural landscapes.
  • C. Bulakmonga
    Bulakmonga is a coastal village in Indonesia’s Mentawai Islands that was heavily impacted by the devastating 2010 Mentawai earthquake and tsunami.
  • D. El Basatin
    El Basatin is a district in the southern part of Cairo, Egypt, known primarily as a residential area within the Cairo Governorate.
  • E. Kaxabu
    Kaxabu is an indigenous Formosan language of Taiwan traditionally spoken by the Kaxabu people.
  • 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: El Kabong
Triple: [Quick Draw McGraw, hasAlterEgo, El Kabong]
Generated description
El Kabong is the masked, guitar-swinging vigilante alter ego of the cartoon horse sheriff Quick Draw McGraw from classic Hanna-Barbera animations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: El Kabong
Target entity description: El Kabong is the masked, guitar-swinging vigilante alter ego of the cartoon horse sheriff Quick Draw McGraw from classic Hanna-Barbera animations.
  • A. Kabale
    Kabale is a town in southwestern Uganda that serves as a key regional center and gateway to nearby attractions such as Bwindi Impenetrable National Park.
  • B. Khoni
    Khoni is a small town in western Georgia’s Imereti region, known for its historical churches and surrounding natural landscapes.
  • C. Bulakmonga
    Bulakmonga is a coastal village in Indonesia’s Mentawai Islands that was heavily impacted by the devastating 2010 Mentawai earthquake and tsunami.
  • D. El Basatin
    El Basatin is a district in the southern part of Cairo, Egypt, known primarily as a residential area within the Cairo Governorate.
  • E. Kaxabu
    Kaxabu is an indigenous Formosan language of Taiwan traditionally spoken by the Kaxabu people.
  • 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7fc378d808190b587a044ede67e1e completed April 9, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58c3c9a7081908002d726ec9e7715 completed April 20, 2026, 2:15 a.m.
NEDg Description generation batch_69e5932d3cb88190807acdcdc3aaa9fc completed April 20, 2026, 2:45 a.m.
NED2 Entity disambiguation (via description) batch_69e59a0ab7e081908cb8761c4f82c664 completed April 20, 2026, 3:14 a.m.
Created at: April 8, 2026, 9:34 p.m.