Triple

T4404362
Position Surface form Disambiguated ID Type / Status
Subject The Limited E93690 entity
Predicate hasCompetitor P1375 FINISHED
Object Express
Express is an American fashion retailer known for its trendy, youth-oriented apparel and accessories sold through mall-based stores and online.
 E437853 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: Express | Statement: [The Limited, hasCompetitor, Express]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Express
Context triple: [The Limited, hasCompetitor, Express]
  • A. Express
    "Express" is a popular song from the film and stage musical "Burlesque," known for its sultry style and association with Christina Aguilera’s performance.
  • B. Emer
    Emer is a given name most notably borne by the 18th-century Swiss legal philosopher Emer de Vattel, known for his influential work on international law.
  • C. Em
    Em is a common shortened form of the given name Emma, often used as an informal nickname.
  • D. Ent
    Ent is a surname most notably associated with Uzal G. Ent, a senior officer in the United States Army Air Forces during World War II.
  • E. So Emotional
    "So Emotional" is a 1987 dance-pop song by Whitney Houston that became one of her number-one hits on the Billboard Hot 100.
  • 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: Express
Triple: [The Limited, hasCompetitor, Express]
Generated description
Express is an American fashion retailer known for its trendy, youth-oriented apparel and accessories sold through mall-based stores and online.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Express
Target entity description: Express is an American fashion retailer known for its trendy, youth-oriented apparel and accessories sold through mall-based stores and online.
  • A. Express
    "Express" is a popular song from the film and stage musical "Burlesque," known for its sultry style and association with Christina Aguilera’s performance.
  • B. Emer
    Emer is a given name most notably borne by the 18th-century Swiss legal philosopher Emer de Vattel, known for his influential work on international law.
  • C. Em
    Em is a common shortened form of the given name Emma, often used as an informal nickname.
  • D. Ent
    Ent is a surname most notably associated with Uzal G. Ent, a senior officer in the United States Army Air Forces during World War II.
  • E. So Emotional
    "So Emotional" is a 1987 dance-pop song by Whitney Houston that became one of her number-one hits on the Billboard Hot 100.
  • 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_69b345158c748190a2c040fce2da9980 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b35488d5b8819087370dd77249aefb completed March 13, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5f6016bd881908099c4a9ab972580 completed March 14, 2026, 11:57 p.m.
NEDg Description generation batch_69b5f689da008190ae5bd42af1f95bfa completed March 15, 2026, midnight
NED2 Entity disambiguation (via description) batch_69b5f72f5dac819081f98d835c467aca completed March 15, 2026, 12:02 a.m.
Created at: March 12, 2026, 11:28 p.m.