Triple

T11559618
Position Surface form Disambiguated ID Type / Status
Subject Estée Lauder Companies E274106 entity
Predicate ownsBrand P1500 FINISHED
Object Le Labo
Le Labo is a niche fragrance house known for its handcrafted, minimalist perfumes and personalized in-store blending experience.
 E933460 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: Le Labo | Statement: [Estée Lauder Companies, ownsBrand, Le Labo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Le Labo
Context triple: [Estée Lauder Companies, ownsBrand, Le Labo]
  • A. Labo
    Labo is a municipality in the Philippine province of Camarines Norte known for its agricultural economy and natural attractions such as caves, waterfalls, and mineral resources.
  • B. La Fabrique
    La Fabrique is a contemporary cultural and creative arts hub on the Île de Nantes in France, known for hosting concerts, exhibitions, and innovative artistic projects.
  • C. Laber
    Laber is a mountain peak in the Ammergau Alps of Bavaria, Germany, known for its panoramic views and accessibility via a cable car.
  • D. Laber
    Laber is a river in Bavaria, Germany, that flows through the Regensburg district.
  • E. The Lab
    The Lab is a South African television drama series centered on the high-stakes world of corporate finance and investment banking.
  • 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: Le Labo
Triple: [Estée Lauder Companies, ownsBrand, Le Labo]
Generated description
Le Labo is a niche fragrance house known for its handcrafted, minimalist perfumes and personalized in-store blending experience.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Le Labo
Target entity description: Le Labo is a niche fragrance house known for its handcrafted, minimalist perfumes and personalized in-store blending experience.
  • A. Labo
    Labo is a municipality in the Philippine province of Camarines Norte known for its agricultural economy and natural attractions such as caves, waterfalls, and mineral resources.
  • B. La Fabrique
    La Fabrique is a contemporary cultural and creative arts hub on the Île de Nantes in France, known for hosting concerts, exhibitions, and innovative artistic projects.
  • C. Laber
    Laber is a river in Bavaria, Germany, that flows through the Regensburg district.
  • D. Laber
    Laber is a mountain peak in the Ammergau Alps of Bavaria, Germany, known for its panoramic views and accessibility via a cable car.
  • E. The Lab
    The Lab is a South African television drama series centered on the high-stakes world of corporate finance and investment banking.
  • 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_69d6aae4dfa48190a3ab0b19a159a3c5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88a899d4481909a3bce3147763b51 completed April 10, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6e88b84d48190948243646bb5fd2b completed April 21, 2026, 3:01 a.m.
NEDg Description generation batch_69e6ef951eb881909810b5923385c4c6 completed April 21, 2026, 3:31 a.m.
NED2 Entity disambiguation (via description) batch_69e6f92ed97c819081576add624dcc27 completed April 21, 2026, 4:12 a.m.
Created at: April 8, 2026, 9:37 p.m.