Triple

T2482974
Position Surface form Disambiguated ID Type / Status
Subject Cinemark Holdings, Inc. E55861 entity
Predicate tickerSymbol P1447 FINISHED
Object CNK
CNK is the stock ticker symbol for Cinemark Holdings, Inc., a major American movie theater chain operator.
 E271517 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: CNK | Statement: [Cinemark Holdings, Inc., tickerSymbol, CNK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CNK
Context triple: [Cinemark Holdings, Inc., tickerSymbol, CNK]
  • A. KNS
    KNS is the Polish vehicle registration code assigned to the Nowy Sącz area in the Lesser Poland Voivodeship.
  • B. KMCN
    KMCN is the ICAO airport code for Middle Georgia Regional Airport, a public airport serving the Macon, Georgia area in the United States.
  • C. CNH
    CNH is the offshore-traded version of China’s currency, the yuan, used primarily in international markets outside mainland China.
  • D. CNP
    CNP is the abbreviation for the U.S. Navy’s Chief of Naval Personnel, the senior officer responsible for managing the service’s manpower, personnel policies, and career development.
  • E. PKN
    PKN is the main Protestant denomination in the Netherlands, formed by the merger of several historic Reformed and Lutheran churches.
  • 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: CNK
Triple: [Cinemark Holdings, Inc., tickerSymbol, CNK]
Generated description
CNK is the stock ticker symbol for Cinemark Holdings, Inc., a major American movie theater chain operator.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CNK
Target entity description: CNK is the stock ticker symbol for Cinemark Holdings, Inc., a major American movie theater chain operator.
  • A. KNS
    KNS is the Polish vehicle registration code assigned to the Nowy Sącz area in the Lesser Poland Voivodeship.
  • B. KMCN
    KMCN is the ICAO airport code for Middle Georgia Regional Airport, a public airport serving the Macon, Georgia area in the United States.
  • C. CNH
    CNH is the offshore-traded version of China’s currency, the yuan, used primarily in international markets outside mainland China.
  • D. CNP
    CNP is the abbreviation for the U.S. Navy’s Chief of Naval Personnel, the senior officer responsible for managing the service’s manpower, personnel policies, and career development.
  • E. PKN
    PKN is the main Protestant denomination in the Netherlands, formed by the merger of several historic Reformed and Lutheran churches.
  • 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_69ab49e670a88190b928e08302381710 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd163378481908b75f2f5de0e89c6 completed March 7, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69af17b48d0881909442717d318a6f05 completed March 9, 2026, 6:55 p.m.
NEDg Description generation batch_69af1c4909888190aa6bc4f9731a8c68 completed March 9, 2026, 7:15 p.m.
NED2 Entity disambiguation (via description) batch_69af1d2adea08190899d0dcd8d1c0bc7 completed March 9, 2026, 7:19 p.m.
Created at: March 6, 2026, 9:45 p.m.