Triple
T34891393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noel Strachan |
E1006296
|
entity |
| Predicate | narrativePerspectiveOnEvents |
P59455
|
FINISHED |
| Object | Jean Paget’s life and experiences |
—
|
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: Jean Paget’s life and experiences | Statement: [Noel Strachan, narrativePerspectiveOnEvents, Jean Paget’s life and experiences]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: narrativePerspectiveOnEvents Context triple: [Noel Strachan, narrativePerspectiveOnEvents, Jean Paget’s life and experiences]
-
A.
narrativePerspective
Indicates the point of view or vantage from which a narrative is told, specifying the relationship between the storyteller and the events being described.
-
B.
perspectiveOnEvents
chosen
Indicates a relationship where an entity holds or expresses a particular interpretive viewpoint or framing regarding one or more events.
-
C.
historicalNarrative
Indicates that one entity presents or constitutes a story or account about past events involving another entity.
-
D.
narrativeMoment
Indicates the specific point or phase within a narrative at which an event, action, or relationship occurs.
-
E.
narrative
Indicates that one entity tells, presents, or conveys a story or sequence of events about another entity or situation.
- 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_69f76dbedb288190afe5780710847410 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd0b92f42881908cd77e3f058adcc2 |
completed | May 7, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fd0a3d68d4819094d92040f7c48d7c |
completed | May 7, 2026, 9:55 p.m. |
Created at: May 3, 2026, 4 p.m.