Triple

T4118477
Position Surface form Disambiguated ID Type / Status
Subject Parisian E90350 entity
Predicate successor P78 FINISHED
Object Elder-Beerman
Elder-Beerman was a regional American department store chain known for selling apparel, home goods, and accessories, primarily in the Midwestern United States.
 E415487 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: Elder-Beerman | Statement: [Parisian, successor, Elder-Beerman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Elder-Beerman
Context triple: [Parisian, successor, Elder-Beerman]
  • A. L&M
    L&M is an international cigarette brand owned by Philip Morris, known for its mid-priced positioning in the global tobacco market.
  • B. Lifebuoy
    Lifebuoy is a long-established global soap and hygiene brand known for its antibacterial products and health-focused marketing.
  • C. Smythson
    Smythson is a luxury British stationery and leather goods brand renowned for its high-end notebooks, diaries, and accessories.
  • D. Gala Brand
    Gala Brand is a fictional Special Branch officer and Bond girl who appears in Ian Fleming’s James Bond novel "Moonraker."
  • E. Bakewell & Brown
    Bakewell & Brown was an influential early 20th-century American architectural firm known for its Beaux-Arts and classical revival designs, particularly in civic and institutional buildings.
  • 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: Elder-Beerman
Triple: [Parisian, successor, Elder-Beerman]
Generated description
Elder-Beerman was a regional American department store chain known for selling apparel, home goods, and accessories, primarily in the Midwestern United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Elder-Beerman
Target entity description: Elder-Beerman was a regional American department store chain known for selling apparel, home goods, and accessories, primarily in the Midwestern United States.
  • A. L&M
    L&M is an international cigarette brand owned by Philip Morris, known for its mid-priced positioning in the global tobacco market.
  • B. Lifebuoy
    Lifebuoy is a long-established global soap and hygiene brand known for its antibacterial products and health-focused marketing.
  • C. Smythson
    Smythson is a luxury British stationery and leather goods brand renowned for its high-end notebooks, diaries, and accessories.
  • D. Gala Brand
    Gala Brand is a fictional Special Branch officer and Bond girl who appears in Ian Fleming’s James Bond novel "Moonraker."
  • E. Bakewell & Brown
    Bakewell & Brown was an influential early 20th-century American architectural firm known for its Beaux-Arts and classical revival designs, particularly in civic and institutional buildings.
  • 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_69aed95c080881908125e30c5dcdc6f8 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af01f48c1c8190aacde6cdf70d7775 completed March 9, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576abe02081908a1b0322758089bd completed March 14, 2026, 2:54 p.m.
NEDg Description generation batch_69b577180e2881908e3bf4bfce7c9edd completed March 14, 2026, 2:56 p.m.
NED2 Entity disambiguation (via description) batch_69b5778dcdc08190aee087f6d54992dc completed March 14, 2026, 2:58 p.m.
Created at: March 9, 2026, 3:41 p.m.