Triple
T2031335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eleanor Rigby |
E44522
|
entity |
| Predicate | arrangementFeatures |
P34739
|
FINISHED |
| Object | string octet |
—
|
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: string octet | Statement: [Eleanor Rigby, arrangementFeatures, string octet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: arrangementFeatures Context triple: [Eleanor Rigby, arrangementFeatures, string octet]
-
A.
arrangement
Indicates a relationship where entities are organized, ordered, or positioned in a particular configuration or sequence relative to one another.
-
B.
featuresDecor
Indicates that one entity includes or showcases the decor elements provided or defined by another entity.
-
C.
needleArrangement
Indicates how needles are positioned or organized relative to each other in a given context.
-
D.
hasArrangement
Indicates that one entity possesses, follows, or is organized according to a particular configuration, setup, or ordering defined by another entity.
-
E.
notableArrangementType
Indicates that one entity is characterized by or associated with a particular notable type of arrangement or configuration 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.