Triple

T18015754
Position Surface form Disambiguated ID Type / Status
Subject Bottle E430994 entity
Predicate supports P516 FINISHED
Object Mako
Mako is a beverage brand commonly associated with bottled drinks.
 E1300956 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: Mako | Statement: [Bottle, supports, Mako]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mako
Context triple: [Bottle, supports, Mako]
  • A. Mako
    Mako was a Japanese-American actor and voice actor known for his distinctive voice and roles in films like "Conan the Barbarian" and as the voice of Iroh in "Avatar: The Last Airbender."
  • B. Mako
    Mako is a Japanese imperial family member best known as Princess Mako of Akishino, the former princess who left royal status upon her marriage to a commoner.
  • C. Mako
    Mako is a high-speed steel roller coaster at SeaWorld Orlando themed around the ocean’s fastest shark.
  • D. Mako
    Mako is the nickname of Benjamin Mako Hill, a prominent free software activist, scholar, and developer involved with projects like Debian and Wikimedia.
  • E. Mako
    Mako is a central firebending protagonist in *The Legend of Korra*, known for his serious demeanor, leadership in Team Avatar, and complex romantic relationships.
  • 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: Mako
Triple: [Bottle, supports, Mako]
Generated description
Mako is a beverage brand commonly associated with bottled drinks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mako
Target entity description: Mako is a beverage brand commonly associated with bottled drinks.
  • A. Mako
    Mako is a central firebending protagonist in *The Legend of Korra*, known for his serious demeanor, leadership in Team Avatar, and complex romantic relationships.
  • B. Mako
    Mako is the internal codename used by Google and LG for the Nexus 4 smartphone model.
  • C. Mako
    Mako is a high-speed steel roller coaster at SeaWorld Orlando themed around the ocean’s fastest shark.
  • D. Mako
    Mako is a Japanese imperial family member best known as Princess Mako of Akishino, the former princess who left royal status upon her marriage to a commoner.
  • E. Mako
    Mako was a Japanese-American actor and voice actor known for his distinctive voice and roles in films like "Conan the Barbarian" and as the voice of Iroh in "Avatar: The Last Airbender."
  • 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b523f588819097389e067dda7f23 completed April 19, 2026, 10:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a034324daec8190a9bbec1ad80c70f9 completed May 12, 2026, 3:11 p.m.
NEDg Description generation batch_6a0343dc91688190ae8e2f051cefef85 completed May 12, 2026, 3:14 p.m.
NED2 Entity disambiguation (via description) batch_6a0344b6f4e081908ff2fbc7bfa4c4e1 completed May 12, 2026, 3:18 p.m.
Created at: April 10, 2026, 10:24 a.m.