Triple

T22505292
Position Surface form Disambiguated ID Type / Status
Subject Daniel Julien E556372 entity
Predicate hasFounded P6274 FINISHED
Object Teleperformance 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: Teleperformance | Statement: [Daniel Julien, hasFounded, Teleperformance]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teleperformance
Context triple: [Daniel Julien, hasFounded, Teleperformance]
  • A. Teleperformance chosen
    Teleperformance is a global leader in outsourced customer experience management and business process outsourcing services, headquartered in France.
  • B. Genesys
    Genesys is a global customer experience and contact center technology company known for its cloud-based solutions that help businesses manage and optimize customer interactions.
  • C. Centrex
    Centrex is a business telephone service provided by a central office switch that offers PBX-like features such as extension dialing, call transfer, and advanced call handling without requiring on-premises switching equipment.
  • D. Centrex
    Centrex is a market segment of the Nagoya Stock Exchange that focuses on listing and trading shares of emerging and smaller companies.
  • E. Tellme Networks
    Tellme Networks was a voice-recognition and interactive voice response (IVR) technology company best known for providing speech-enabled telephone services and platforms, later acquired by Microsoft.
  • 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_69e11e555edc81909ca803587dafd747 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15d5bf0f0819093426d83ebd80ef0 completed April 29, 2026, 1:22 a.m.
Created at: April 16, 2026, 8:50 p.m.