Triple
T13075649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leo Kadanoff |
E329565
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Kadanoff
Kadanoff is the surname of Leo Kadanoff, a prominent American physicist known for his pioneering work on phase transitions and critical phenomena.
|
E1019379
|
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: Kadanoff | Statement: [Leo Kadanoff, familyName, Kadanoff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kadanoff Context triple: [Leo Kadanoff, familyName, Kadanoff]
-
A.
Polyakov
Polyakov is a common Russian surname borne by numerous notable figures in fields such as physics, mathematics, politics, and the arts.
-
B.
Lifshitz
Lifshitz is the original family surname of American fashion designer and business magnate Ralph Lauren.
-
C.
Kac
Kac is a surname most notably associated with Polish-American mathematician Mark Kac, known for his work in probability theory and mathematical physics.
-
D.
Gutzwiller
Gutzwiller is a German surname most notably associated with physicist Martin Gutzwiller, known for his contributions to quantum chaos and solid-state physics.
-
E.
Guralnik
Guralnik is a surname most notably associated with American theoretical physicist Gerald Guralnik, a co-discoverer of the Higgs mechanism.
- 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: Kadanoff Triple: [Leo Kadanoff, familyName, Kadanoff]
Generated description
Kadanoff is the surname of Leo Kadanoff, a prominent American physicist known for his pioneering work on phase transitions and critical phenomena.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kadanoff Target entity description: Kadanoff is the surname of Leo Kadanoff, a prominent American physicist known for his pioneering work on phase transitions and critical phenomena.
-
A.
Polyakov
Polyakov is a common Russian surname borne by numerous notable figures in fields such as physics, mathematics, politics, and the arts.
-
B.
Lifshitz
Lifshitz is the original family surname of American fashion designer and business magnate Ralph Lauren.
-
C.
Kac
Kac is a surname most notably associated with Polish-American mathematician Mark Kac, known for his work in probability theory and mathematical physics.
-
D.
Gutzwiller
Gutzwiller is a German surname most notably associated with physicist Martin Gutzwiller, known for his contributions to quantum chaos and solid-state physics.
-
E.
Guralnik
Guralnik is a surname most notably associated with American theoretical physicist Gerald Guralnik, a co-discoverer of the Higgs mechanism.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d98117209081908272021013df2222 |
completed | April 10, 2026, 11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d608a2288190bf07023a5303f887 |
completed | May 3, 2026, 4:58 a.m. |
| NEDg | Description generation | batch_69f6d6e326408190b7906c7ea8e3ef85 |
completed | May 3, 2026, 5:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6d873b978819097962c82e8ffdac8 |
completed | May 3, 2026, 5:09 a.m. |
Created at: April 9, 2026, 9:01 p.m.