Triple
T28826159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Denham |
E727909
|
entity |
| Predicate | authorWorkStatus |
P109111
|
FINISHED |
| Object | unfinished |
—
|
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: unfinished | Statement: [Lady Denham, authorWorkStatus, unfinished]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorWorkStatus Context triple: [Lady Denham, authorWorkStatus, unfinished]
-
A.
authorshipStatus
Indicates the current state or condition of an entity’s role as an author in relation to a work (e.g., confirmed, disputed, anonymous, or pending).
-
B.
authorStatus
chosen
Indicates the role or standing an individual holds as an author, such as their level of contribution, recognition, or current authorship state in relation to a work.
-
C.
hasCreativeWorkStatus
Indicates the current state or condition of a creative work within its lifecycle (e.g., planned, in progress, completed, or published).
-
D.
workLiteraryStatus
Indicates the classification or recognition level of a literary work, such as its prestige, canonical status, or cultural significance.
-
E.
writingsStatus
Indicates the status or condition of a set of writings (e.g., whether they are drafted, reviewed, published, or otherwise processed) in relation to an 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_69f0319d09088190bbf14cdf1987792a |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f7a225a77c81908f8953ccfeb14336 |
completed | May 3, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69f7a06d4f108190bae3ab9ae431d2c7 |
completed | May 3, 2026, 7:22 p.m. |
Created at: April 28, 2026, 6:36 a.m.