Triple
T34693407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyanna Stark |
E890958
|
entity |
| Predicate | memoryAssociatedWith |
P180759
|
FINISHED |
| Object | promise me, Ned |
—
|
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: promise me, Ned | Statement: [Lyanna Stark, memoryAssociatedWith, promise me, Ned]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memoryAssociatedWith Context triple: [Lyanna Stark, memoryAssociatedWith, promise me, Ned]
-
A.
memoryFunction
Indicates a relationship where an entity serves as or performs a memory-related function for another entity or system.
-
B.
memoryAffects
Indicates that one entity’s memory or recollection has an influence or impact on another entity or process.
-
C.
memorizedBy
Indicates that some content, information, or material has been learned and retained in memory by a particular entity.
-
D.
memoryType
Indicates the specific category or kind of memory associated with an entity or process.
-
E.
memory
Indicates that an entity retains, recalls, or is associated with stored information or past experiences.
- 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_69f349db7ab8819086808e833f472871 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f74c70fd248190a9d5543afcb08211 |
completed | May 3, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69f7478e3b548190a51d5d436e2bb036 |
completed | May 3, 2026, 1:03 p.m. |
| PDg | Predicate description generation | batch_69f74c6fa6548190b03935f65429a24e |
completed | May 3, 2026, 1:23 p.m. |
Created at: May 1, 2026, 2:05 a.m.