Triple
T1509683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerald Guralnik |
E33984
|
entity |
| Predicate | notableStudent |
P4838
|
FINISHED |
| Object | Carl Hagen |
E60264
|
NE FINISHED |
How this triple was built (2 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: Carl Hagen | Statement: [Gerald Guralnik, notableStudent, Carl Hagen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carl Hagen Context triple: [Gerald Guralnik, notableStudent, Carl Hagen]
-
A.
Carl Hagen
chosen
Carl Hagen is an American theoretical physicist known for his role in developing the mechanism that predicted the Higgs boson and for contributions to quantum field theory.
-
B.
Robert Sauer
Robert Sauer was a German mathematician known for his contributions to geometry and for his academic leadership in the mid-20th century.
-
C.
Carl Spitz
Carl Spitz was a renowned German-American dog trainer best known for training Toto in the classic film "The Wizard of Oz."
-
D.
Carl Erickson
Carl Erickson was an American screenwriter active in early 20th-century Hollywood, known for his work on several studio films during the 1930s.
-
E.
Paul Dehn
Paul Dehn was a British screenwriter and critic best known for his work on films such as "Goldfinger," "The Spy Who Came in from the Cold," and several entries in the "Planet of the Apes" series.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a885f352a4819099b24ff15489dede |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a8891e9da881909d0b12f1bc05863f |
completed | March 4, 2026, 7:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b085fc357481908259683cb4860cf3 |
completed | March 10, 2026, 8:58 p.m. |
Created at: March 4, 2026, 7:24 p.m.