Triple

T20488153
Position Surface form Disambiguated ID Type / Status
Subject Cole Porter stage works E502660 entity
Predicate includesWork P2011 FINISHED
Object Paris
Paris is a 1928 Broadway musical comedy with music and lyrics by Cole Porter that helped establish his reputation as a leading American songwriter.
E1433896 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: Paris | Statement: [Cole Porter stage works, includesWork, Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris
Context triple: [Cole Porter stage works, includesWork, Paris]
  • A. Paris
    Paris is the capital and largest city of France, renowned for its historic architecture, art, fashion, and cultural influence worldwide.
  • B. Paris
    Paris is a prince of Troy in Greek mythology, best known for judging the beauty contest of the goddesses and for abducting Helen, which sparked the Trojan War.
  • C. Paris
    Paris is a major Chilean department store and retail chain offering a wide range of apparel, home goods, and consumer products.
  • D. Paris
    Paris is a budget-oriented AMD Sempron processor core designed for entry-level desktop computing.
  • E. Paris
    Paris was an enslaved man held in bondage by George Washington at the President's House in Philadelphia during his presidency.
  • 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: Paris
Triple: [Cole Porter stage works, includesWork, Paris]
Generated description
Paris is a 1928 Broadway musical comedy with music and lyrics by Cole Porter that helped establish his reputation as a leading American songwriter.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Paris
Target entity description: Paris is a 1928 Broadway musical comedy with music and lyrics by Cole Porter that helped establish his reputation as a leading American songwriter.
  • A. Paris
    Paris is an American hip hop artist and producer known for his politically charged, socially conscious lyrics and militant themes.
  • B. Paris
    "Paris" is a 2017 electronic dance music single by The Chainsmokers that became a major international hit.
  • C. Paris
    "Paris" is a hit electronic-pop single by The Chainsmokers, known for its nostalgic lyrics and mellow, atmospheric production.
  • D. Paris
    Paris is a major Chilean department store and retail chain offering a wide range of apparel, home goods, and consumer products.
  • E. Paris
    Paris is the capital and largest city of France, renowned for its historic architecture, art, fashion, and cultural influence worldwide.
  • 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_69e0b4b0373881909dd3e9387f82eab4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69b5c6f84819087d813be3542ed33 completed April 20, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0893b1b63c8190af56d8a251535e32 completed May 16, 2026, 3:56 p.m.
NEDg Description generation batch_6a0894b4594881908bd2f5be8235ad62 completed May 16, 2026, 4 p.m.
NED2 Entity disambiguation (via description) batch_6a08955c4b7081909b327cc9b7ae365e completed May 16, 2026, 4:03 p.m.
Created at: April 16, 2026, 11:34 a.m.