Triple
T2031341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eleanor Rigby |
E44522
|
entity |
| Predicate | A-sideOf |
P34740
|
FINISHED |
| Object | Eleanor Rigby / Yellow Submarine |
—
|
LITERAL 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: Eleanor Rigby / Yellow Submarine | Statement: [Eleanor Rigby, A-sideOf, Eleanor Rigby / Yellow Submarine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: A-sideOf Context triple: [Eleanor Rigby, A-sideOf, Eleanor Rigby / Yellow Submarine]
-
A.
situatedOnSideOf
Indicates that one entity is located along or beside the lateral part or edge of another entity.
-
B.
countryOnAxisSide
Indicates that a country was aligned with or belonged to the Axis side in a particular conflict or war.
-
C.
locatedAcrossRiverFrom
Indicates that one entity is situated on the opposite side of a river relative to another entity.
-
D.
countryOnOneSide
Indicates that one entity is located on one side or border of a specified country.
-
E.
side
Indicates that one entity is located at, aligned with, or associated with the lateral part or edge of another entity.
- F. None of above. chosen
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_69a889144f2481909932f0746a93023d |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb915c9548190809d08c4d67466fb |
completed | March 7, 2026, 5:35 a.m. |
| PD | Predicate disambiguation | batch_69abb7a656248190ac2ced196b35bc6b |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb85fe7a08190b991b1f23bc34f93 |
completed | March 7, 2026, 5:32 a.m. |
Created at: March 4, 2026, 7:38 p.m.