Triple

T6476194
Position Surface form Disambiguated ID Type / Status
Subject Juan Maldacena E146077 entity
Predicate familyName P18 FINISHED
Object Maldacena
Maldacena is the surname of Juan Maldacena, a prominent theoretical physicist best known for formulating the AdS/CFT correspondence in string theory.
 E596855 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: Maldacena | Statement: [Juan Maldacena, familyName, Maldacena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maldacena
Context triple: [Juan Maldacena, familyName, Maldacena]
  • A. Guralnik
    Guralnik is a surname most notably associated with American theoretical physicist Gerald Guralnik, a co-discoverer of the Higgs mechanism.
  • B. Guth
    Guth is the surname of Alan Guth, an American theoretical physicist best known for proposing the theory of cosmic inflation in the early universe.
  • C. Kaluza
    Kaluza is a surname most notably associated with Theodor Kaluza, the German physicist who proposed a unifying five-dimensional theory of gravity and electromagnetism.
  • D. Witten
    Witten is a surname most notably associated with Edward Witten, a leading theoretical physicist and key figure in string theory and mathematical physics.
  • E. Witten
    Witten is a city in the Ruhr region of western Germany known for its industrial heritage and location along the Ruhr River.
  • 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: Maldacena
Triple: [Juan Maldacena, familyName, Maldacena]
Generated description
Maldacena is the surname of Juan Maldacena, a prominent theoretical physicist best known for formulating the AdS/CFT correspondence in string theory.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maldacena
Target entity description: Maldacena is the surname of Juan Maldacena, a prominent theoretical physicist best known for formulating the AdS/CFT correspondence in string theory.
  • A. Guralnik
    Guralnik is a surname most notably associated with American theoretical physicist Gerald Guralnik, a co-discoverer of the Higgs mechanism.
  • B. Guth
    Guth is the surname of Alan Guth, an American theoretical physicist best known for proposing the theory of cosmic inflation in the early universe.
  • C. Kaluza
    Kaluza is a surname most notably associated with Theodor Kaluza, the German physicist who proposed a unifying five-dimensional theory of gravity and electromagnetism.
  • D. Witten
    Witten is a surname most notably associated with Edward Witten, a leading theoretical physicist and key figure in string theory and mathematical physics.
  • E. Witten
    Witten is a city in the Ruhr region of western Germany known for its industrial heritage and location along the Ruhr River.
  • 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_69c008fec7408190af7b146dc63d9750 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a49b3bc8190ad80c6ca2dd15c68 completed March 22, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653a7f348819091bca6b582ad230d completed March 27, 2026, 9:53 a.m.
NEDg Description generation batch_69c6542017f4819085efe545dd25060f completed March 27, 2026, 9:55 a.m.
NED2 Entity disambiguation (via description) batch_69c656d3533c819091a4255e354eccab completed March 27, 2026, 10:07 a.m.
Created at: March 22, 2026, 4:51 p.m.