Triple
T32469024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aunt Sarah |
E829792
|
entity |
| Predicate | temporarilyReplaces |
P24986
|
FINISHED |
| Object | Jim Dear and Darling as Lady’s caretaker |
—
|
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: Jim Dear and Darling as Lady’s caretaker | Statement: [Aunt Sarah, temporarilyReplaces, Jim Dear and Darling as Lady’s caretaker]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: temporarilyReplaces Context triple: [Aunt Sarah, temporarilyReplaces, Jim Dear and Darling as Lady’s caretaker]
-
A.
replacedWith
Indicates that one entity has been substituted or superseded by another entity, taking over its role, function, or position.
-
B.
replacedDuring
chosen
Indicates that one entity took the place of another entity during a specified time period or interval.
-
C.
placedBy
Indicates that one entity was positioned, set, or put in a location or context by another entity.
-
D.
seeksToReplace
Indicates an intention or effort by one entity to take over the role, function, or position currently held by another entity.
-
E.
temporarilyRestored
Indicates that a previously unavailable or altered state, condition, or connection has been brought back to its former status for a limited or non-permanent period.
- 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_69f3491ee87c81908cbf5890079c2af6 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7051ad6e4819095e82bbd64761803 |
completed | May 3, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69f700fe24e08190998e2c96fbaaad38 |
completed | May 3, 2026, 8:02 a.m. |
Created at: May 1, 2026, 12:57 a.m.