Triple
T38011529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Harrison Ainsworth |
E948375
|
entity |
| Predicate | setWorksIn |
P189855
|
FINISHED |
| Object | notable periods of British history |
—
|
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: notable periods of British history | Statement: [William Harrison Ainsworth, setWorksIn, notable periods of British history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: setWorksIn Context triple: [William Harrison Ainsworth, setWorksIn, notable periods of British history]
-
A.
setWorkIn
Indicates that an entity assigns or places a work, task, or project into a particular context, location, or setting.
-
B.
setInPlaceOfWork
Indicates that an entity is assigned or located at a specific place of work in place of another entity.
-
C.
workInSet
Indicates that an entity performs work or has a role within a specified set, group, or collection.
-
D.
hasWorksIn
Indicates that one entity is employed by or performs their professional activities within the organization, location, or context represented by another entity.
-
E.
workSetting
Indicates the environment, context, or conditions in which the work or activity is carried out.
- 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_69f76efb4b10819092c8c2ba28ac06a8 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbca6c066c8190a1599202f341417f |
completed | May 6, 2026, 11:10 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ee04f08190977b7ad70fc85896 |
completed | May 6, 2026, 11:04 p.m. |
| PDg | Predicate description generation | batch_69fbc993caa881908c16c3e21efaeef9 |
completed | May 6, 2026, 11:07 p.m. |
Created at: May 3, 2026, 4:20 p.m.