Triple
T17563695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lars Porsenna |
E427754
|
entity |
| Predicate | portrayalInRomanTradition |
P127983
|
FINISHED |
| Object | powerful foreign monarch |
—
|
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: powerful foreign monarch | Statement: [Lars Porsenna, portrayalInRomanTradition, powerful foreign monarch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portrayalInRomanTradition Context triple: [Lars Porsenna, portrayalInRomanTradition, powerful foreign monarch]
-
A.
roleInRome
Indicates that an entity holds or held a specific role, position, or function within the context of Rome or Roman society.
-
B.
RomanRepresentative
Indicates that one entity serves as an official representative or agent of the Roman state, authority, or interests in relation to another entity.
-
C.
viewedRomanRuleAs
Indicates that one entity regarded or interpreted Roman rule in a particular way or from a particular perspective.
-
D.
religionInRomanPeriod
Indicates that an entity’s religious affiliation, practice, or status is specified as it existed during the Roman period.
-
E.
portrayalIntroduced
Indicates that one entity is introduced or presented as a portrayal or depiction of another entity.
- F. None of above. chosen
Provenance (4 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4592bde448190bf5ed2340440e2b7 |
completed | April 19, 2026, 4:25 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fd7d048190b54ee4c6155612a5 |
completed | April 18, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69e3bbb50b448190a59dd4be33c76db7 |
completed | April 18, 2026, 5:13 p.m. |
Created at: April 10, 2026, 5:50 a.m.