Triple

T34443658
Position Surface form Disambiguated ID Type / Status
Subject Coty Inc. E884159 entity
Predicate acquiredBusinessFrom P178949 FINISHED
Object Procter & Gamble (beauty brands) 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: Procter & Gamble (beauty brands) | Statement: [Coty Inc., acquiredBusinessFrom, Procter & Gamble (beauty brands)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: acquiredBusinessFrom
Context triple: [Coty Inc., acquiredBusinessFrom, Procter & Gamble (beauty brands)]
  • A. acquiredCompany
    Indicates that one entity has purchased and taken ownership or control of another company.
  • B. underlyingCompanyAcquisition
    Indicates that one company is the target or subject of an acquisition by another company.
  • C. laterAcquiredBy
    Indicates that one entity was acquired by another entity at a later point in time, after some prior state or ownership.
  • D. laterAcquiredThrough
    Indicates that one entity came to possess or obtain another entity at a subsequent time specifically by means of a particular acquisition method or process.
  • E. acquiredFor
    Indicates that one entity obtained or purchased another entity specifically for the benefit, use, or purpose of a third entity.
  • F. None of above. chosen

Provenance (4 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_69f349c548d88190978e2a82502c03d0 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f719cc31ec819099bebcf833b14d76 completed May 3, 2026, 9:47 a.m.
PD Predicate disambiguation batch_69f71824431081908d9685d2462ea242 completed May 3, 2026, 9:40 a.m.
PDg Predicate description generation batch_69f719458378819081725f544efb1173 completed May 3, 2026, 9:45 a.m.
Created at: May 1, 2026, 2 a.m.