Triple

T21762471
Position Surface form Disambiguated ID Type / Status
Subject Cumrun Vafa E537196 entity
Predicate givenName P17 FINISHED
Object Cumrun
Cumrun is a theoretical physicist best known for his influential work in string theory and quantum gravity.
E1500819 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: Cumrun | Statement: [Cumrun Vafa, givenName, Cumrun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cumrun
Context triple: [Cumrun Vafa, givenName, Cumrun]
  • A. Tarna
    Tarna is a river in northern Hungary that serves as one of the tributaries feeding into the Zagyva River.
  • B. Meekatharra
    Meekatharra is a remote outback town in Western Australia known historically for gold mining and as a service hub for the surrounding pastoral and mining regions.
  • C. El Asnam
    El Asnam is a town located within Algeria’s Bouira Province.
  • D. Tauri
    Tauri were an ancient people of the Crimean Peninsula, known from Greek and Roman sources for their distinct culture and coastal strongholds around the Black Sea.
  • E. Kniphausen
    Kniphausen is a historical territory in present-day Germany that once functioned as a small semi-independent lordship under various regional powers.
  • 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: Cumrun
Triple: [Cumrun Vafa, givenName, Cumrun]
Generated description
Cumrun is a theoretical physicist best known for his influential work in string theory and quantum gravity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cumrun
Target entity description: Cumrun is a theoretical physicist best known for his influential work in string theory and quantum gravity.
  • A. Tarna
    Tarna is a river in northern Hungary that serves as one of the tributaries feeding into the Zagyva River.
  • B. Meekatharra
    Meekatharra is a remote outback town in Western Australia known historically for gold mining and as a service hub for the surrounding pastoral and mining regions.
  • C. El Asnam
    El Asnam is a town located within Algeria’s Bouira Province.
  • D. Tauri
    Tauri were an ancient people of the Crimean Peninsula, known from Greek and Roman sources for their distinct culture and coastal strongholds around the Black Sea.
  • E. Kniphausen
    Kniphausen is a historical territory in present-day Germany that once functioned as a small semi-independent lordship under various regional powers.
  • 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_69e0c46f5d1c8190bf830409e98464e5 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f031a711dc8190a786c9849dc344e8 completed April 28, 2026, 4:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a3675ffe0819092be3df2b4440ee5 completed May 17, 2026, 9:43 p.m.
NEDg Description generation batch_6a0a376c3f88819085dcf4d2f49ea121 completed May 17, 2026, 9:47 p.m.
NED2 Entity disambiguation (via description) batch_6a0a37f8c09c8190a92f78909cfbc6e7 completed May 17, 2026, 9:49 p.m.
Created at: April 16, 2026, 6:51 p.m.