Triple

T1170576
Position Surface form Disambiguated ID Type / Status
Subject Tiffany & Co. E24901 entity
Predicate tickerSymbol P1447 FINISHED
Object TIF
TIF is the former New York Stock Exchange ticker symbol for Tiffany & Co., the luxury jewelry and specialty retailer.
 E133063 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: TIF | Statement: [Tiffany & Co., tickerSymbol, TIF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TIF
Context triple: [Tiffany & Co., tickerSymbol, TIF]
  • A. TIFF
    TIFF is the non-profit cultural organization that runs the Toronto International Film Festival and related year-round film programs and events.
  • B. TAR
    TAR is the ICAO airline designator assigned to Tunisair, the national flag carrier of Tunisia.
  • C. BMP
    BMP is the Basic Multilingual Plane of Unicode, the primary block of code points that encodes the most commonly used characters from modern and many historic writing systems.
  • D. PNG
    PNG is the three-letter ISO 3166-1 alpha-3 country code representing Papua New Guinea.
  • E. PSD
    PSD is a major center-right political party in Portugal that has played a leading role in the country’s post-revolution democratic politics and governance.
  • 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: TIF
Triple: [Tiffany & Co., tickerSymbol, TIF]
Generated description
TIF is the former New York Stock Exchange ticker symbol for Tiffany & Co., the luxury jewelry and specialty retailer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TIF
Target entity description: TIF is the former New York Stock Exchange ticker symbol for Tiffany & Co., the luxury jewelry and specialty retailer.
  • A. TIFF
    TIFF is the non-profit cultural organization that runs the Toronto International Film Festival and related year-round film programs and events.
  • B. TAR
    TAR is the ICAO airline designator assigned to Tunisair, the national flag carrier of Tunisia.
  • C. BMP
    BMP is the Basic Multilingual Plane of Unicode, the primary block of code points that encodes the most commonly used characters from modern and many historic writing systems.
  • D. PNG
    PNG is the three-letter ISO 3166-1 alpha-3 country code representing Papua New Guinea.
  • E. PSD
    PSD is a major center-right political party in Portugal that has played a leading role in the country’s post-revolution democratic politics and governance.
  • 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_69a494082a7c819095004f423f294a64 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bce972cc8190bce0b77cfda6da41 completed March 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac66879aec819098293c440a0e09a6 completed March 7, 2026, 5:55 p.m.
NEDg Description generation batch_69ac66fd58308190bb4cb09581d4a8de completed March 7, 2026, 5:57 p.m.
NED2 Entity disambiguation (via description) batch_69ac677e147081909d9f64884c443f82 completed March 7, 2026, 5:59 p.m.
Created at: March 1, 2026, 7:45 p.m.