Triple
T21762472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cumrun Vafa |
E537196
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Vafa
Vafa is a surname most prominently associated with Cumrun Vafa, an influential Iranian-American theoretical physicist known for his work in string theory.
|
E1500820
|
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: Vafa | Statement: [Cumrun Vafa, familyName, Vafa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vafa Context triple: [Cumrun Vafa, familyName, Vafa]
-
A.
Guralnik
Guralnik is a surname most notably associated with American theoretical physicist Gerald Guralnik, a co-discoverer of the Higgs mechanism.
-
B.
Verlinde
Verlinde is a Dutch surname most notably associated with theoretical physicist Erik Verlinde, known for his work on string theory and emergent gravity.
-
C.
Akusha Dargwa
Akusha Dargwa is a variety of the Dargwa language spoken in the Republic of Dagestan in the North Caucasus region of Russia.
-
D.
Komari Vosa
Komari Vosa is a former Jedi Padawan who became the dark and unstable leader of the Bando Gora cult in the Star Wars universe.
-
E.
Yunaska
Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
- 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: Vafa Triple: [Cumrun Vafa, familyName, Vafa]
Generated description
Vafa is a surname most prominently associated with Cumrun Vafa, an influential Iranian-American theoretical physicist known for his work in string theory.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vafa Target entity description: Vafa is a surname most prominently associated with Cumrun Vafa, an influential Iranian-American theoretical physicist known for his work 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.
Verlinde
Verlinde is a Dutch surname most notably associated with theoretical physicist Erik Verlinde, known for his work on string theory and emergent gravity.
-
C.
Akusha Dargwa
Akusha Dargwa is a variety of the Dargwa language spoken in the Republic of Dagestan in the North Caucasus region of Russia.
-
D.
Komari Vosa
Komari Vosa is a former Jedi Padawan who became the dark and unstable leader of the Bando Gora cult in the Star Wars universe.
-
E.
Yunaska
Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
- 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.