Triple
T29026511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Des Abends |
E737606
|
entity |
| Predicate | dedicatedWorkSetTo |
P49437
|
FINISHED |
| Object | Anna Robena Laidlaw |
—
|
NE NERFINISHED |
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: Anna Robena Laidlaw | Statement: [Des Abends, dedicatedWorkSetTo, Anna Robena Laidlaw]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dedicatedWorkSetTo Context triple: [Des Abends, dedicatedWorkSetTo, Anna Robena Laidlaw]
-
A.
workSetDuring
Indicates that an action or relationship occurs within a specified time period or temporal setting.
-
B.
hasWorkDedicatedTo
chosen
Indicates that one entity has a work (such as a book, artwork, or composition) that is formally dedicated to another entity.
-
C.
workInSet
Indicates that an entity performs work or has a role within a specified set, group, or collection.
-
D.
setWorkIn
Indicates that an entity assigns or places a work, task, or project into a particular context, location, or setting.
-
E.
usedInWorkSetIn
Indicates that something (such as an element, motif, or device) is employed within a creative work whose narrative or content is set in a particular place or time.
- 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_69f077ef00fc81909325f084ad37c035 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f66d7765208190b87b1cc6d96a151c |
completed | May 2, 2026, 9:32 p.m. |
| PD | Predicate disambiguation | batch_69f66abfdaf08190a55f14c70be6fd4d |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 28, 2026, 9:53 a.m.