Triple
T32932969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franklin W. Dixon |
E842445
|
entity |
| Predicate | usedToMaintain |
P31392
|
FINISHED |
| Object | continuity of authorship appearance |
—
|
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: continuity of authorship appearance | Statement: [Franklin W. Dixon, usedToMaintain, continuity of authorship appearance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedToMaintain Context triple: [Franklin W. Dixon, usedToMaintain, continuity of authorship appearance]
-
A.
maintainedFor
Indicates that something is kept in a particular state, condition, or operation for the benefit, use, or purpose of another entity.
-
B.
hasMaintained
Indicates that an entity has continued to keep another entity in a particular state, condition, or relationship over a period of time.
-
C.
maintainedDuring
Indicates that a certain condition, state, or relationship continues to hold throughout the duration of a specified event or time interval.
-
D.
soughtToMaintain
chosen
Indicates an entity’s deliberate effort or intention to keep another entity or condition in its existing state over time.
-
E.
canMaintain
Indicates that one entity has the ability or capacity to maintain, service, or keep another entity in proper working condition.
- 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_69f34948adfc8190a937f1f622783c0b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f73ae120bc8190bff94d38d7a7a00d |
completed | May 3, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69f73a38d0848190aa5139144b8561c6 |
completed | May 3, 2026, 12:06 p.m. |
Created at: May 1, 2026, 1:20 a.m.