Triple
T1390289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Higgs field |
E29938
|
entity |
| Predicate | isPredictedBy |
P23826
|
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: [Higgs field, isPredictedBy, Carl Hagen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carl Hagen Context triple: [Higgs field, isPredictedBy, 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.
Carl Spitz
Carl Spitz was a renowned German-American dog trainer best known for training Toto in the classic film "The Wizard of Oz."
-
C.
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.
-
D.
Hans Dreier
Hans Dreier was a prominent German-born art director in Hollywood’s Golden Age, best known for his influential visual design work on numerous Paramount Pictures films.
-
E.
Carl Schuhmann
Carl Schuhmann was a German athlete renowned for winning multiple gold medals in gymnastics and wrestling at the inaugural modern Olympic Games in 1896.
- 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_69a498dc92f8819094a1108f8ac90f43 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c35e023c8190b45688796d90534b |
completed | March 1, 2026, 10:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae891551c8819090f6edd70c45ff39 |
completed | March 9, 2026, 8:47 a.m. |
Created at: March 1, 2026, 7:59 p.m.