Triple

T19060543
Position Surface form Disambiguated ID Type / Status
Subject Kris Aquino E466517 entity
Predicate notableWork P4 FINISHED
Object Game KNB? (Game Ka Na Ba?)
Game KNB? (Game Ka Na Ba?) is a popular Philippine television game show best known for its quiz-based challenges and for being hosted for many years by Kris Aquino.
 E1355624 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: Game KNB? (Game Ka Na Ba?) | Statement: [Kris Aquino, notableWork, Game KNB? (Game Ka Na Ba?)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Game KNB? (Game Ka Na Ba?)
Context triple: [Kris Aquino, notableWork, Game KNB? (Game Ka Na Ba?)]
  • A. KNB
    KNB is the abbreviation for Khazanah Nasional, Malaysia’s sovereign wealth fund and strategic investment arm of the government.
  • B. Kbn
    Kbn is the ancient Egyptian name for the coastal city-state of Byblos, a major Phoenician trading center on the Mediterranean.
  • C. BGB
    BGB is the foundational codification of private law in Germany, governing areas such as contracts, property, family, and inheritance.
  • D. KBN
    KBN is the National Rail station code assigned to Kilburn Park station in London.
  • E. Tenebak
    Tenebak is a barangay (village-level administrative division) within the municipality of Maitum in the province of Sarangani, Philippines.
  • 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: Game KNB? (Game Ka Na Ba?)
Triple: [Kris Aquino, notableWork, Game KNB? (Game Ka Na Ba?)]
Generated description
Game KNB? (Game Ka Na Ba?) is a popular Philippine television game show best known for its quiz-based challenges and for being hosted for many years by Kris Aquino.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Game KNB? (Game Ka Na Ba?)
Target entity description: Game KNB? (Game Ka Na Ba?) is a popular Philippine television game show best known for its quiz-based challenges and for being hosted for many years by Kris Aquino.
  • A. KNB
    KNB is the abbreviation for Khazanah Nasional, Malaysia’s sovereign wealth fund and strategic investment arm of the government.
  • B. Kbn
    Kbn is the ancient Egyptian name for the coastal city-state of Byblos, a major Phoenician trading center on the Mediterranean.
  • C. BGB
    BGB is the foundational codification of private law in Germany, governing areas such as contracts, property, family, and inheritance.
  • D. KBN
    KBN is the National Rail station code assigned to Kilburn Park station in London.
  • E. Tenebak
    Tenebak is a barangay (village-level administrative division) within the municipality of Maitum in the province of Sarangani, Philippines.
  • 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_69d8dd040fb881909af2a964f65ad208 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5dc0910088190b042095937b202a8 completed April 20, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05c55dec9881908d56c270e538463d completed May 14, 2026, 12:51 p.m.
NEDg Description generation batch_6a05c66f7efc8190859bf4ca53012d1d completed May 14, 2026, 12:56 p.m.
NED2 Entity disambiguation (via description) batch_6a05c6f11fd88190be6fd8c235e3d269 completed May 14, 2026, 12:58 p.m.
Created at: April 10, 2026, 12:03 p.m.