Triple
T27844289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Memoir of the Rev. John Stevens Henslow |
E703771
|
entity |
| Predicate | documentsAspect |
P133933
|
FINISHED |
| Object | academic career of John Stevens Henslow |
—
|
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: academic career of John Stevens Henslow | Statement: [Memoir of the Rev. John Stevens Henslow, documentsAspect, academic career of John Stevens Henslow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: documentsAspect Context triple: [Memoir of the Rev. John Stevens Henslow, documentsAspect, academic career of John Stevens Henslow]
-
A.
documentsField
Indicates that one entity serves as a documented field or attribute of another entity, typically capturing how that field is recorded or specified.
-
B.
documentsPerspective
Indicates that one entity records, represents, or expresses the viewpoint or perspective of another entity.
-
C.
documentsNow
Indicates that an entity is currently documenting, recording, or writing about another entity at the present time.
-
D.
documentsActivity
Indicates that one entity records, describes, or provides evidence of an activity performed by another entity.
-
E.
documentsTheme
chosen
Indicates that a document records, discusses, or centers around a particular theme or subject.
- 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_69ef840d9e3c819093615ebff4ec22be |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c2198208190a3954086c22cfcbf |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 27, 2026, 6:05 p.m.