Triple

T2413934
Position Surface form Disambiguated ID Type / Status
Subject Revlon E52258 entity
Predicate tickerSymbol P1447 FINISHED
Object REV
REV is the stock ticker symbol for Revlon Inc., a major American cosmetics, skincare, fragrance, and personal care company.
E264937 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: REV | Statement: [Revlon, tickerSymbol, REV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: REV
Context triple: [Revlon, tickerSymbol, REV]
  • A. RE
    RE is the common abbreviation for the British Army’s Corps of Royal Engineers, responsible for military engineering and technical support.
  • B. RE
    RE is the two-letter ISO 3166-1 alpha-2 country code assigned to the French overseas department and region of Réunion.
  • C. RE
    RE is the abbreviation for RegioExpress, a category of regional express trains commonly used in European rail transport.
  • D. REN
    REN is a blockchain-based project and protocol focused on enabling cross-chain liquidity and interoperability between different cryptocurrency networks.
  • E. REC
    REC is the standard abbreviation used by the World Wide Web Consortium (W3C) to denote a finalized, stable web standard known as a W3C Recommendation.
  • 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: REV
Triple: [Revlon, tickerSymbol, REV]
Generated description
REV is the stock ticker symbol for Revlon Inc., a major American cosmetics, skincare, fragrance, and personal care company.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: REV
Target entity description: REV is the stock ticker symbol for Revlon Inc., a major American cosmetics, skincare, fragrance, and personal care company.
  • A. RE
    RE is the two-letter ISO 3166-1 alpha-2 country code assigned to the French overseas department and region of Réunion.
  • B. RE
    RE is the common abbreviation for the British Army’s Corps of Royal Engineers, responsible for military engineering and technical support.
  • C. RE
    RE is the abbreviation for RegioExpress, a category of regional express trains commonly used in European rail transport.
  • D. REN
    REN is a blockchain-based project and protocol focused on enabling cross-chain liquidity and interoperability between different cryptocurrency networks.
  • E. REC
    REC is the standard abbreviation used by the World Wide Web Consortium (W3C) to denote a finalized, stable web standard known as a W3C Recommendation.
  • 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_69ab495622948190bc6bc6e4cddaf645 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc94a6458819087b8c4fe81a2d031 completed March 7, 2026, 6:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf4748d0819088aec3bc14dc5519 completed March 9, 2026, 12:38 p.m.
NEDg Description generation batch_69aec338adf481908492b99d6e949bf8 completed March 9, 2026, 12:55 p.m.
NED2 Entity disambiguation (via description) batch_69aec3d410048190b908e883442b4ac2 completed March 9, 2026, 12:57 p.m.
Created at: March 6, 2026, 9:41 p.m.