Triple

T19773527
Position Surface form Disambiguated ID Type / Status
Subject Allergan E474948 entity
Predicate knownFor P22 FINISHED
Object Botox NE NERFINISHED

How this triple was built (2 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: Botox | Statement: [Allergan, knownFor, Botox]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Botox
Context triple: [Allergan, knownFor, Botox]
  • A. Botox (therapeutic and cosmetic) chosen
    Botox (therapeutic and cosmetic) is a widely used botulinum toxin–based injectable treatment employed both medically to manage conditions like muscle spasticity and migraines and cosmetically to reduce the appearance of facial wrinkles.
  • B. Juvederm
    Juvederm is a popular line of hyaluronic acid-based dermal fillers used in cosmetic medicine to reduce wrinkles and add facial volume.
  • C. Redermic
    Redermic is a La Roche-Posay anti-aging skincare line formulated to target wrinkles, loss of firmness, and other visible signs of skin aging.
  • D. BBL
    BBL is the acronym for the Swiss Federal Office for Buildings and Logistics, the national authority responsible for managing federal real estate, construction projects, and logistical services.
  • E. BBL
    BBL is a regional professional basketball league that brought together top clubs from Baltic countries such as Lithuania, Latvia, and Estonia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51a43a08190956bc6df13c91a77 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6535e450c8190a2628245ae0d0bd3 completed April 20, 2026, 4:25 p.m.
Created at: April 10, 2026, 1:48 p.m.