Triple

T10448326
Position Surface form Disambiguated ID Type / Status
Subject Marriott International E246350 entity
Predicate tickerSymbol P1447 FINISHED
Object MAR
MAR is the stock ticker symbol for Marriott International, a leading global hotel and lodging company.
 E863243 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: MAR | Statement: [Marriott International, tickerSymbol, MAR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MAR
Context triple: [Marriott International, tickerSymbol, MAR]
  • A. MAR
    MAR is the three-letter ISO 3166-1 alpha-3 country code assigned to Morocco.
  • B. Ma
    Ma is a 2019 psychological horror film starring Octavia Spencer as a lonely woman who befriends a group of teenagers with increasingly disturbing consequences.
  • C. Ma
    Ma is a fictional character appearing in Enid Blyton’s children’s adventure novel "The Circus of Adventure."
  • D. Ma
    Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
  • E. Mar
    Mar is an honorific ecclesiastical title used for bishops and saints in several Eastern Christian traditions, particularly within Syriac Christianity.
  • 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: MAR
Triple: [Marriott International, tickerSymbol, MAR]
Generated description
MAR is the stock ticker symbol for Marriott International, a leading global hotel and lodging company.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MAR
Target entity description: MAR is the stock ticker symbol for Marriott International, a leading global hotel and lodging company.
  • A. MAR
    MAR is the three-letter ISO 3166-1 alpha-3 country code assigned to Morocco.
  • B. Ma
    Ma is a fictional character appearing in Enid Blyton’s children’s adventure novel "The Circus of Adventure."
  • C. Ma
    Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
  • D. Ma
    Ma is a 2019 psychological horror film starring Octavia Spencer as a lonely woman who befriends a group of teenagers with increasingly disturbing consequences.
  • E. Mar
    Mar is an honorific ecclesiastical title used for bishops and saints in several Eastern Christian traditions, particularly within Syriac Christianity.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fdc10c8081908a3801fe1dea63de completed April 7, 2026, 12:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69d87ef4e0dc81908d7cf0f2b6f4cd98 completed April 10, 2026, 4:39 a.m.
NEDg Description generation batch_69d886c3fdcc8190a67a7f7788b8a2e8 completed April 10, 2026, 5:12 a.m.
NED2 Entity disambiguation (via description) batch_69d88dce21448190b093b4f548e29f84 completed April 10, 2026, 5:42 a.m.
Created at: April 6, 2026, 12:16 p.m.