Triple

T577084
Position Surface form Disambiguated ID Type / Status
Subject TAG Heuer E13778 entity
Predicate hasBrand P1500 FINISHED
Object Link
Link is a TAG Heuer watch collection known for its distinctive S-shaped bracelet design and blend of sporty elegance.
 E72284 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: Link | Statement: [TAG Heuer, hasBrand, Link]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Link
Context triple: [TAG Heuer, hasBrand, Link]
  • A. Luigi
    Luigi is a timid yet heroic green-clad plumber from Nintendo’s Mario franchise, known as Mario’s younger brother and frequent co-adventurer.
  • B. Taitō
    Taitō is a special ward in central Tokyo known for its historic districts, traditional temples, and major cultural attractions such as Ueno Park and Asakusa.
  • C. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • D. Lucas
    Lucas is the surname of George Lucas, the influential American filmmaker best known as the creator of the Star Wars and Indiana Jones franchises.
  • E. Kip
    Kip is a young Sikh British-Indian army sapper in Michael Ondaatje’s novel "The English Patient," whose expertise in bomb disposal and complex relationship with the other characters explore themes of war, identity, and colonialism.
  • 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: Link
Triple: [TAG Heuer, hasBrand, Link]
Generated description
Link is a TAG Heuer watch collection known for its distinctive S-shaped bracelet design and blend of sporty elegance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Link
Target entity description: Link is a TAG Heuer watch collection known for its distinctive S-shaped bracelet design and blend of sporty elegance.
  • A. Luigi
    Luigi is a timid yet heroic green-clad plumber from Nintendo’s Mario franchise, known as Mario’s younger brother and frequent co-adventurer.
  • B. Taitō
    Taitō is a special ward in central Tokyo known for its historic districts, traditional temples, and major cultural attractions such as Ueno Park and Asakusa.
  • C. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • D. Lucas
    Lucas is the surname of George Lucas, the influential American filmmaker best known as the creator of the Star Wars and Indiana Jones franchises.
  • E. Kip
    Kip is a young Sikh British-Indian army sapper in Michael Ondaatje’s novel "The English Patient," whose expertise in bomb disposal and complex relationship with the other characters explore themes of war, identity, and colonialism.
  • 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_69a4933fa4d88190a7949cc83c08c5c1 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b68cc808190b1ba45bdad78443d completed March 1, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69a501bfb6408190bf7e1f462f39723d completed March 2, 2026, 3:19 a.m.
NEDg Description generation batch_69a5026c35408190ab22dab86c673e0f completed March 2, 2026, 3:22 a.m.
NED2 Entity disambiguation (via description) batch_69a5063ad6b481909537a97e6a81eaa4 completed March 2, 2026, 3:38 a.m.
Created at: March 1, 2026, 7:33 p.m.