Triple

T21795690
Position Surface form Disambiguated ID Type / Status
Subject Sara Lee Corporation E538086 entity
Predicate tickerSymbol P1447 FINISHED
Object SLE
SLE is the stock ticker symbol for Sara Lee Corporation, a former American consumer-goods company known for its packaged foods and baked goods brands.
 E1502967 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: SLE | Statement: [Sara Lee Corporation, tickerSymbol, SLE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SLE
Context triple: [Sara Lee Corporation, tickerSymbol, SLE]
  • A. SLE
    SLE is a mid-level trim package for GMC vehicles that typically adds upgraded comfort, convenience, and appearance features over the base model.
  • B. SLE
    SLE is a commuter rail service operating along the Connecticut shoreline, connecting towns between New London and New Haven.
  • C. SLE
    SLE is the IATA airport code for Salem Municipal Airport, a public airport serving Salem, Oregon, in the United States.
  • D. SLE
    SLE (Software Language Engineering) is a conference focused on the theory, design, implementation, and application of software languages and language-based tools.
  • E. SLE
    SLE is the three-letter ISO 3166-1 alpha-3 country code assigned to Sierra Leone.
  • 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: SLE
Triple: [Sara Lee Corporation, tickerSymbol, SLE]
Generated description
SLE is the stock ticker symbol for Sara Lee Corporation, a former American consumer-goods company known for its packaged foods and baked goods brands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SLE
Target entity description: SLE is the stock ticker symbol for Sara Lee Corporation, a former American consumer-goods company known for its packaged foods and baked goods brands.
  • A. SLE
    SLE is a mid-level trim package for GMC vehicles that typically adds upgraded comfort, convenience, and appearance features over the base model.
  • B. SLE
    SLE is the three-letter ISO 3166-1 alpha-3 country code assigned to Sierra Leone.
  • C. SLE
    SLE is a commuter rail service operating along the Connecticut shoreline, connecting towns between New London and New Haven.
  • D. SLE
    SLE is the IATA airport code for Salem Municipal Airport, a public airport serving Salem, Oregon, in the United States.
  • E. SLE
    SLE (Software Language Engineering) is a conference focused on the theory, design, implementation, and application of software languages and language-based tools.
  • 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_69e0c4733f4081909a86622e7e6d15d2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f06223ecc48190bd3b173586ea7818 completed April 28, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a3e7e3b508190bccf7bfd6856861a completed May 17, 2026, 10:17 p.m.
NEDg Description generation batch_6a0a4292891c8190a9d6202faa3eeb95 completed May 17, 2026, 10:34 p.m.
NED2 Entity disambiguation (via description) batch_6a0a433f4528819099527393c5966cbb completed May 17, 2026, 10:37 p.m.
Created at: April 16, 2026, 6:53 p.m.