Triple

T15032652
Position Surface form Disambiguated ID Type / Status
Subject Kevin E378390 entity
Predicate companions P22642 FINISHED
Object Og
Og is a character who appears as one of Kevin’s companions, likely within a fictional or narrative context.
 E1134448 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: Og | Statement: [Kevin, companions, Og]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Og
Context triple: [Kevin, companions, Og]
  • A. Oga
    Oga is a coastal city in northern Japan known for the Oga Peninsula and its traditional Namahage folklore.
  • B. Oghi
    Oghi is a town in Pakistan's Khyber Pakhtunkhwa province, known as a local administrative and commercial center within the Hazara region.
  • C. Ogi
    Ogi was a former municipality on Sado Island in Niigata Prefecture, Japan, known for its coastal setting and later incorporation into the city of Sado.
  • D. Kogo
    Kogo is a settlement located in the Litoral region of Equatorial Guinea.
  • E. Oger
    Oger is a renowned Champagne-producing village in France’s Côte des Blancs, celebrated for its high-quality Chardonnay vineyards and prestigious Grand Cru status.
  • 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: Og
Triple: [Kevin, companions, Og]
Generated description
Og is a character who appears as one of Kevin’s companions, likely within a fictional or narrative context.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Og
Target entity description: Og is a character who appears as one of Kevin’s companions, likely within a fictional or narrative context.
  • A. Oga
    Oga is a coastal city in northern Japan known for the Oga Peninsula and its traditional Namahage folklore.
  • B. Oghi
    Oghi is a town in Pakistan's Khyber Pakhtunkhwa province, known as a local administrative and commercial center within the Hazara region.
  • C. Ogi
    Ogi was a former municipality on Sado Island in Niigata Prefecture, Japan, known for its coastal setting and later incorporation into the city of Sado.
  • D. Kogo
    Kogo is a settlement located in the Litoral region of Equatorial Guinea.
  • E. Oger
    Oger is a renowned Champagne-producing village in France’s Côte des Blancs, celebrated for its high-quality Chardonnay vineyards and prestigious Grand Cru status.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7e3a7c8819081f26c2435c1bcb2 completed April 15, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9ddb46888190b1d2fe2992fc120b completed May 9, 2026, 2:37 a.m.
NEDg Description generation batch_69fe9efce5dc8190909b891c476d5291 completed May 9, 2026, 2:42 a.m.
NED2 Entity disambiguation (via description) batch_69fea2bd5d2c8190b26d2393cd8abb3e completed May 9, 2026, 2:58 a.m.
Created at: April 10, 2026, 2:59 a.m.