Triple
T1252908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ragnar Frisch |
E26916
|
entity |
| Predicate | doctoralAdvisorOf |
P20123
|
FINISHED |
| Object | Trygve Haavelmo |
E26523
|
NE FINISHED |
How this triple was built (3 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: Trygve Haavelmo | Statement: [Ragnar Frisch, doctoralAdvisorOf, Trygve Haavelmo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trygve Haavelmo Context triple: [Ragnar Frisch, doctoralAdvisorOf, Trygve Haavelmo]
-
A.
Trygve Haavelmo
chosen
Trygve Haavelmo was a Norwegian economist and Nobel laureate renowned for his pioneering work in econometrics and the probabilistic foundations of economic theory.
-
B.
Ragnar Frisch
Ragnar Frisch was a Norwegian economist and co-recipient of the first Nobel Memorial Prize in Economic Sciences, recognized as a founder of econometrics and modern macroeconomic analysis.
-
C.
Finn E. Kydland
Finn E. Kydland is a Norwegian economist and Nobel laureate renowned for his work on time consistency in economic policy and the driving forces behind business cycles.
-
D.
Tjalling C. Koopmans
Tjalling C. Koopmans was a Dutch-American economist and Nobel laureate renowned for his contributions to econometrics and optimal resource allocation theory.
-
E.
Wassily Leontief
Wassily Leontief was a Nobel Prize–winning economist best known for developing input–output analysis to study the interdependence of sectors in an economy.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: doctoralAdvisorOf Context triple: [Ragnar Frisch, doctoralAdvisorOf, Trygve Haavelmo]
-
A.
hasDoctoralDegreeFrom
Indicates that an individual holds a doctoral-level academic degree that was awarded by a specified institution.
-
B.
hasDoctoralStudents
chosen
Indicates that a person serves as the doctoral advisor or supervisor of one or more doctoral students.
-
C.
academicAdvisor
Indicates that one entity serves as the academic advisor, providing formal guidance and oversight on academic matters, to another entity.
-
D.
notableProfessor
Indicates that a person holds or has held a professorship that is distinguished, prominent, or otherwise recognized as notable.
-
E.
hasDoctoralSchool
Indicates that an individual or academic entity is affiliated with or obtained their doctoral education from a specific doctoral school or graduate institution.
- F. None of above.
Provenance (4 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_69a49487a9c48190ba9b05348fd1b53f |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf875cf48190b6781d41097ee39b |
completed | March 1, 2026, 10:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aca2efc344819081d79b9440676796 |
completed | March 7, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6c977c8190a2bf3e8b67a59beb |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:47 p.m.