Triple
T1577704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Brout |
E33690
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Brout |
E177271
|
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: Brout | Statement: [Robert Brout, familyName, Brout]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brout Context triple: [Robert Brout, familyName, Brout]
-
A.
Guralnik
Guralnik is a surname most notably associated with American theoretical physicist Gerald Guralnik, a co-discoverer of the Higgs mechanism.
-
B.
Rubbia
Rubbia is the surname of Carlo Rubbia, an Italian physicist and Nobel laureate known for his contributions to particle physics.
-
C.
Yukawa
Yukawa is a Japanese surname most famously associated with theoretical physicist Hideki Yukawa, the first Japanese Nobel laureate in Physics.
-
D.
Englert
chosen
Englert is a Belgian theoretical physicist renowned for his work on the Brout–Englert–Higgs mechanism, which underpins the modern understanding of how particles acquire mass.
-
E.
Regge
Regge is a small river in the eastern Netherlands that flows through the province of Overijssel and is a tributary of the Vecht.
- 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_69a885f27a4c8190a4622252cdf54c00 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a908d571f081908acec43ff2ef112d |
completed | March 5, 2026, 4:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad402e1cc48190bb69628bc63d6f4c |
completed | March 8, 2026, 9:23 a.m. |
Created at: March 4, 2026, 7:27 p.m.