Triple
T8362451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polemarchus |
E197040
|
entity |
| Predicate | politicalContextOfDeath |
P24043
|
FINISHED |
| Object | regime of the Thirty Tyrants in Athens |
—
|
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: regime of the Thirty Tyrants in Athens | Statement: [Polemarchus, politicalContextOfDeath, regime of the Thirty Tyrants in Athens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalContextOfDeath Context triple: [Polemarchus, politicalContextOfDeath, regime of the Thirty Tyrants in Athens]
-
A.
countryOfDeath
Indicates the country in which an entity (typically a person) died.
-
B.
involvedPoliticalContext
chosen
Indicates that an entity participated in, was affected by, or is otherwise connected to a particular political situation, environment, or set of political circumstances.
-
C.
countryOfMartyrdom
Indicates the country in which a person was martyred.
-
D.
traditionallyDiedIn
Indicates that, according to tradition or customary accounts (rather than strictly verified historical evidence), one entity is said to have died in the location or context of another entity.
-
E.
containsDeathOf
Indicates that the subject includes, depicts, or involves the death of the referenced 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_69ca82f2dbe48190aba982e75a0d94de |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb8074e4588190b394d1622adca2cb |
completed | March 31, 2026, 8:06 a.m. |
| PD | Predicate disambiguation | batch_69cb70ca25548190b0f90c5384e3fb3c |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6 p.m.