Triple
T289713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Geological Evidence of the Antiquity of Man |
E5961
|
entity |
| Predicate | positionInAuthorCareer |
P6708
|
FINISHED |
| Object | late-career work of Charles Lyell |
—
|
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: late-career work of Charles Lyell | Statement: [The Geological Evidence of the Antiquity of Man, positionInAuthorCareer, late-career work of Charles Lyell]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInAuthorCareer Context triple: [The Geological Evidence of the Antiquity of Man, positionInAuthorCareer, late-career work of Charles Lyell]
-
A.
authorOccupation
Indicates the professional role or job that an author holds or is associated with.
-
B.
describesCareerOf
Indicates that one entity provides a description or characterization of the professional career of another entity.
-
C.
isStageInCareerOf
chosen
Indicates that one entity represents a particular phase or stage within the professional career of another entity.
-
D.
positionInIndustry
Indicates the role, rank, or standing that an entity holds within a particular industry or sector.
-
E.
followedByRoleInCareerOf
Indicates that one role or position directly succeeds another in the sequence of roles within a single entity’s career.
- 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_69a25946a7ac8190a78871c210213272 |
completed | Feb. 28, 2026, 2:56 a.m. |
| NER | Named-entity recognition | batch_69a25e4df5508190ab75115ac6b3964e |
completed | Feb. 28, 2026, 3:17 a.m. |
| PD | Predicate disambiguation | batch_69a25b7d089081909810442c3d0182f6 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 3:02 a.m.