Triple
T30152789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rachel Creed |
E766436
|
entity |
| Predicate | hasCoreMemory |
P93366
|
FINISHED |
| Object | sister dying at home |
—
|
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: sister dying at home | Statement: [Rachel Creed, hasCoreMemory, sister dying at home]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoreMemory Context triple: [Rachel Creed, hasCoreMemory, sister dying at home]
-
A.
hasCoreMemoryIslands
Indicates that an entity possesses distinct, central memory regions or modules referred to as "core memory islands."
-
B.
hasCPUCore
Indicates that an entity (typically a computing device or processor) possesses or includes a specific CPU core as one of its components.
-
C.
hasRAM
Indicates that an entity possesses or is equipped with a specified amount or type of random-access memory (RAM).
-
D.
hasMemoryIn
chosen
Indicates that an entity possesses or stores memory, information, or experiences within a specified context, location, or medium.
-
E.
hasCore
Indicates that one entity possesses, contains, or is built around a central or most essential component represented by another entity.
- 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_69f22479cd088190ab4c6f3fce39d1c5 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a00d9717a9881908194163d719f14d6 |
completed | May 10, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a00d91db2ec81909ebacfc9f0d11dd8 |
completed | May 10, 2026, 7:14 p.m. |
Created at: April 29, 2026, 7:20 p.m.