Triple
T611035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nero |
E12097
|
entity |
| Predicate | responseToFire |
P767
|
FINISHED |
| Object | blamed Christians for the Great Fire of Rome |
—
|
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: blamed Christians for the Great Fire of Rome | Statement: [Nero, responseToFire, blamed Christians for the Great Fire of Rome]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: responseToFire Context triple: [Nero, responseToFire, blamed Christians for the Great Fire of Rome]
-
A.
initialUSResponse
Indicates the nature or content of the United States’ first reaction or action taken in response to a particular event, situation, or stimulus.
-
B.
wasResponseTo
chosen
Indicates that one event, action, or communication occurred as a direct reply or reaction to a preceding event, action, or communication.
-
C.
fireAdaptation
Indicates that an entity possesses traits or mechanisms that enable it to survive, reproduce, or otherwise benefit in environments where fire occurs.
-
D.
selectFire
Indicates choosing or designating a specific fire source, mode, or target for use or activation.
-
E.
fireRescue
Indicates a relationship where one entity performs or is responsible for rescuing people or property from fires or fire-related emergencies involving another entity.
- 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_69a493309df48190a327f748e88049a6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49df7c088819082eb70de4f0f4fbf |
completed | March 1, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69a49cfa7b4481909bec7a5fd3e98c65 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:35 p.m.