Triple

T5842522
Position Surface form Disambiguated ID Type / Status
Subject Kering E129626 entity
Predicate tickerSymbol P1447 FINISHED
Object KER
KER is the stock ticker symbol for Kering, the French multinational luxury goods group that owns brands such as Gucci, Saint Laurent, and Bottega Veneta.
 E549700 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: KER | Statement: [Kering, tickerSymbol, KER]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KER
Context triple: [Kering, tickerSymbol, KER]
  • A. Ke
    Ke is the given name of Ke Huy Quan, the Vietnamese-American actor and former child star known for roles in films like "Indiana Jones and the Temple of Doom," "The Goonies," and "Everything Everywhere All at Once."
  • B. KR
    KR is the vehicle registration code used on license plates for the German city of Krefeld.
  • C. KR
    KR is the stock ticker symbol for The Kroger Co., one of the largest supermarket chains in the United States.
  • D. KE
    KE is the IATA airline designator for Korean Air, the flag carrier and largest airline of South Korea.
  • E. KE
    KE is the two-letter ISO 3166-1 alpha-2 country code assigned to Kenya for international identification and data standards.
  • 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: KER
Triple: [Kering, tickerSymbol, KER]
Generated description
KER is the stock ticker symbol for Kering, the French multinational luxury goods group that owns brands such as Gucci, Saint Laurent, and Bottega Veneta.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KER
Target entity description: KER is the stock ticker symbol for Kering, the French multinational luxury goods group that owns brands such as Gucci, Saint Laurent, and Bottega Veneta.
  • A. Ke
    Ke is the given name of Ke Huy Quan, the Vietnamese-American actor and former child star known for roles in films like "Indiana Jones and the Temple of Doom," "The Goonies," and "Everything Everywhere All at Once."
  • B. KR
    KR is the vehicle registration code used on license plates for the German city of Krefeld.
  • C. KR
    KR is the stock ticker symbol for The Kroger Co., one of the largest supermarket chains in the United States.
  • D. KE
    KE is the IATA airline designator for Korean Air, the flag carrier and largest airline of South Korea.
  • E. KE
    KE is the two-letter ISO 3166-1 alpha-2 country code assigned to Kenya for international identification and data standards.
  • 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_69c0084bd31c8190a796bb6284845e83 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c034d9da0c8190970319d0dc2fc73f completed March 22, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1a2506481908a3e638c1121bfd0 completed March 23, 2026, 2:12 a.m.
NEDg Description generation batch_69c0a27765688190b02a1b0cd39a87fe completed March 23, 2026, 2:16 a.m.
NED2 Entity disambiguation (via description) batch_69c0a2fd7ec081909033994e5556a6ae completed March 23, 2026, 2:18 a.m.
Created at: March 22, 2026, 3:54 p.m.