Triple

T7346272
Position Surface form Disambiguated ID Type / Status
Subject Merrill Lynch E169388 entity
Predicate tickerSymbol P1447 FINISHED
Object MER
MER is the former New York Stock Exchange ticker symbol for Merrill Lynch, the prominent U.S.-based investment bank and wealth management firm.
 E659384 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: MER | Statement: [Merrill Lynch, tickerSymbol, MER]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MER
Context triple: [Merrill Lynch, tickerSymbol, MER]
  • A. MR
    MR is the official vehicle registration code used on license plates for the city of Marburg in the German state of Hesse.
  • B. MR
    MR is a Belgian French-speaking liberal political party that participated as one of the partners in the federal Vivaldi coalition government led by Alexander De Croo.
  • C. MOR
    MOR is the station code for Morges railway station, a key rail stop in the town of Morges in the canton of Vaud, Switzerland.
  • D. MOR
    MOR is the ICAO airline designator assigned to the former U.S. low-fare carrier Morris Air.
  • E. MAR
    MAR is the three-letter ISO 3166-1 alpha-3 country code assigned to Morocco.
  • 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: MER
Triple: [Merrill Lynch, tickerSymbol, MER]
Generated description
MER is the former New York Stock Exchange ticker symbol for Merrill Lynch, the prominent U.S.-based investment bank and wealth management firm.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MER
Target entity description: MER is the former New York Stock Exchange ticker symbol for Merrill Lynch, the prominent U.S.-based investment bank and wealth management firm.
  • A. MR
    MR is a Belgian French-speaking liberal political party that participated as one of the partners in the federal Vivaldi coalition government led by Alexander De Croo.
  • B. MR
    MR is the official vehicle registration code used on license plates for the city of Marburg in the German state of Hesse.
  • C. MOR
    MOR is the ICAO airline designator assigned to the former U.S. low-fare carrier Morris Air.
  • D. MOR
    MOR is the station code for Morges railway station, a key rail stop in the town of Morges in the canton of Vaud, Switzerland.
  • E. MAR
    MAR is the three-letter ISO 3166-1 alpha-3 country code assigned to Morocco.
  • 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_69c68a5878888190968ce4d04db8d69f completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0f0329c8190a0182e3bf62604e5 completed March 27, 2026, 9:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fa916ac881909acee8184b71dc85 completed March 28, 2026, 3:58 p.m.
NEDg Description generation batch_69c7fb05966c819089f47be0b9d32cb2 completed March 28, 2026, 4 p.m.
NED2 Entity disambiguation (via description) batch_69c7fddb63908190a5123ed8d7c9be1f completed March 28, 2026, 4:12 p.m.
Created at: March 27, 2026, 3:05 p.m.