Triple
T27498291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rayleigh family |
E694075
|
entity |
| Predicate | hasNotableScientificFigure |
P97477
|
FINISHED |
| Object | John William Strutt, 3rd Baron Rayleigh |
—
|
NE NERFINISHED |
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: John William Strutt, 3rd Baron Rayleigh | Statement: [Rayleigh family, hasNotableScientificFigure, John William Strutt, 3rd Baron Rayleigh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableScientificFigure Context triple: [Rayleigh family, hasNotableScientificFigure, John William Strutt, 3rd Baron Rayleigh]
-
A.
hasNotableNamesakeContribution
Indicates that an entity has made a significant contribution specifically related to or inspired by its notable namesake.
-
B.
hasNotablePeople
chosen
Indicates that certain people associated with an entity are distinguished or noteworthy in some recognized way.
-
C.
hasNotableWorkDepiction
Indicates that an entity has a notable work in which it is depicted or represented.
-
D.
hasHumanScientistCharacter
Indicates that an entity includes or features a character who is a human scientist.
-
E.
notableScientist
Indicates that the subject is a scientist who is widely recognized for significant contributions or impact in their field.
- F. None of above.
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_69ef538370888190b1ddf53bb4831188 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69fe920a437081908d5174e8cf7a53a6 |
completed | May 9, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69fe919a9a6c8190acb4483f386e6db7 |
completed | May 9, 2026, 1:44 a.m. |
Created at: April 27, 2026, 1:09 p.m.