Triple

T2553205
Position Surface form Disambiguated ID Type / Status
Subject Teavana E56673 entity
Predicate foundedBy P104 FINISHED
Object Andrew Mack
Andrew Mack is an American entrepreneur best known as the co-founder of the specialty tea retailer Teavana.
E308296 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: Andrew Mack | Statement: [Teavana, foundedBy, Andrew Mack]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrew Mack
Context triple: [Teavana, foundedBy, Andrew Mack]
  • A. Gregory Nussbaum
    Gregory Nussbaum is a film editor known for his work on the 2008 comic-book adaptation "The Spirit."
  • B. Mark Natanson
    Mark Natanson was a prominent Russian revolutionary and political activist who played a key role in the development of populist and socialist movements in late 19th- and early 20th-century Russia.
  • C. Ben D. Waisbren
    Ben D. Waisbren is a film producer known for financing and producing major studio and independent movies.
  • D. Daniel Mandell
    Daniel Mandell was an American film editor renowned for his work on numerous classic Hollywood films and for winning multiple Academy Awards for Best Film Editing.
  • E. Johnny Gandelsman
    Johnny Gandelsman is a Grammy-winning violinist and producer known for his work with ensembles like Brooklyn Rider and the Silk Road Ensemble, as well as for his innovative solo projects.
  • 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: Andrew Mack
Triple: [Teavana, foundedBy, Andrew Mack]
Generated description
Andrew Mack is an American entrepreneur best known as the co-founder of the specialty tea retailer Teavana.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Andrew Mack
Target entity description: Andrew Mack is an American entrepreneur best known as the co-founder of the specialty tea retailer Teavana.
  • A. Gregory Nussbaum
    Gregory Nussbaum is a film editor known for his work on the 2008 comic-book adaptation "The Spirit."
  • B. Mark Natanson
    Mark Natanson was a prominent Russian revolutionary and political activist who played a key role in the development of populist and socialist movements in late 19th- and early 20th-century Russia.
  • C. Ben D. Waisbren
    Ben D. Waisbren is a film producer known for financing and producing major studio and independent movies.
  • D. Daniel Mandell
    Daniel Mandell was an American film editor renowned for his work on numerous classic Hollywood films and for winning multiple Academy Awards for Best Film Editing.
  • E. Johnny Gandelsman
    Johnny Gandelsman is a Grammy-winning violinist and producer known for his work with ensembles like Brooklyn Rider and the Silk Road Ensemble, as well as for his innovative solo projects.
  • 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_69ab4a4bfec081908039988ec4c86e28 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd30bc6388190b78f2f931eb54041 completed March 7, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69b03104c21c81909fede29ce1e76d88 completed March 10, 2026, 2:56 p.m.
NEDg Description generation batch_69b031b0606c81908ff879fd8464c7d4 completed March 10, 2026, 2:58 p.m.
NED2 Entity disambiguation (via description) batch_69b039a5d7748190a44b878a5be62f54 completed March 10, 2026, 3:32 p.m.
Created at: March 6, 2026, 9:48 p.m.