Triple
T611030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nero |
E12097
|
entity |
| Predicate | deathCircumstances |
P144
|
FINISHED |
| Object | committed suicide after being declared a public enemy by the Senate |
—
|
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: committed suicide after being declared a public enemy by the Senate | Statement: [Nero, deathCircumstances, committed suicide after being declared a public enemy by the Senate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deathCircumstances Context triple: [Nero, deathCircumstances, committed suicide after being declared a public enemy by the Senate]
-
A.
causeOfDeath
chosen
Indicates the specific factor, event, or condition that directly resulted in an entity’s death.
-
B.
death
Indicates the event or state in which an entity ceases to live or exist, marking the end of its biological or functional processes.
-
C.
placeOfDeath
Indicates the location where an entity (typically a person or animal) died.
-
D.
diedWhile
Indicates that one entity ceased to live during the occurrence or performance of another specified event or activity.
-
E.
deathToll
Indicates the number of deaths resulting from a particular event, situation, or cause.
- 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.