Triple
T12342905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gsell family |
E294273
|
entity |
| Predicate | fieldOfHistoricalNote |
P82362
|
FINISHED |
| Object | intellectual history |
—
|
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: intellectual history | Statement: [Gsell family, fieldOfHistoricalNote, intellectual history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldOfHistoricalNote Context triple: [Gsell family, fieldOfHistoricalNote, intellectual history]
-
A.
historicalNotability
Indicates that an entity is recognized as having significant importance, influence, or prominence in history.
-
B.
historicalField
chosen
Indicates that one entity’s field of study, work, or relevance is situated within the historical domain or concerns past events.
-
C.
historicalInterest
Indicates that one entity has a notable relevance, appeal, or significance to the study or understanding of the past.
-
D.
historicalFocus
Indicates that something is primarily concerned with, centered on, or devoted to a particular historical period, event, or theme.
-
E.
historicalReference
Indicates that one entity refers to, cites, or alludes to another entity from an earlier time or historical context.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f78a970819086beec3e4da8c49e |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ecb5efc819086a3530282278bb1 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:53 p.m.