Triple

T3692509
Position Surface form Disambiguated ID Type / Status
Subject Macy's E78374 entity
Predicate tickerSymbol P1447 FINISHED
Object M
M is the New York Stock Exchange ticker symbol for Macy's, Inc., a major American department store chain.
 E380881 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: M | Statement: [Macy's, tickerSymbol, M]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: M
Context triple: [Macy's, tickerSymbol, M]
  • A. M
    "M" is a 1951 American crime thriller film directed by Joseph Losey, adapted from Fritz Lang’s 1931 classic, in which David Wayne portrays a hunted child murderer.
  • B. M
    M is a functional data mashup and query language used in Microsoft Power BI and related tools for data transformation and preparation.
  • C. M
    M is the codename for James Bond’s stern and authoritative superior who heads the British Secret Service in the 007 franchise.
  • D. M
    M is a New York City Subway service that runs along the IND Sixth Avenue Line in Manhattan and connects Brooklyn and Queens.
  • E. Ma
    Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
  • 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: M
Triple: [Macy's, tickerSymbol, M]
Generated description
M is the New York Stock Exchange ticker symbol for Macy's, Inc., a major American department store chain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: M
Target entity description: M is the New York Stock Exchange ticker symbol for Macy's, Inc., a major American department store chain.
  • A. M
    M is a functional data mashup and query language used in Microsoft Power BI and related tools for data transformation and preparation.
  • B. M
    M is the codename for James Bond’s stern and authoritative superior who heads the British Secret Service in the 007 franchise.
  • C. M
    "M" is a 1951 American crime thriller film directed by Joseph Losey, adapted from Fritz Lang’s 1931 classic, in which David Wayne portrays a hunted child murderer.
  • D. M
    M is a New York City Subway service that runs along the IND Sixth Avenue Line in Manhattan and connects Brooklyn and Queens.
  • E. Ma
    Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
  • 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_69ad85e285a081908f8cbfa9e2ed9b75 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4e89f588190951371439a035850 completed March 8, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3cd64c4819098f9f93a8d2efdf7 completed March 14, 2026, 2:11 a.m.
NEDg Description generation batch_69b4c5e9ce5481909465e77cb3590f88 completed March 14, 2026, 2:20 a.m.
NED2 Entity disambiguation (via description) batch_69b4c644efe0819098d982c6a06cd9b4 completed March 14, 2026, 2:21 a.m.
Created at: March 8, 2026, 3:26 p.m.