Triple
T36213839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cordwainer |
E1047632
|
entity |
| Predicate | historicEventImpact |
P145803
|
FINISHED |
| Object | Great Fire of London |
—
|
NE NERFINISHED |
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: Great Fire of London | Statement: [Cordwainer, historicEventImpact, Great Fire of London]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicEventImpact Context triple: [Cordwainer, historicEventImpact, Great Fire of London]
-
A.
historicalImpact
Indicates the influence or lasting effects that an entity, event, or action has had on subsequent history or historical developments.
-
B.
impactOfNotableEvent
chosen
Indicates the causal influence or consequences that a specific notable event has on an entity, situation, or outcome.
-
C.
facedHistoricalImpact
Indicates that an entity has experienced or been subjected to a significant influence, consequence, or change resulting from historical events or processes.
-
D.
hasHistoricalImplicationsFor
Indicates that something influences, shapes, or significantly affects the course, interpretation, or understanding of history for something else.
-
E.
majorHistoricalProcess
Indicates a large-scale, transformative sequence of events or developments that significantly shapes the course of history.
- 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_69f76e4214748190a76c986d2a1838c2 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a011c64ff18819099195701bbecbb20 |
completed | May 11, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_6a011b7f7a508190b2ebb518fb7a2fe9 |
completed | May 10, 2026, 11:57 p.m. |
Created at: May 3, 2026, 4:09 p.m.