Triple
T19806406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Euripides' Helen |
E475823
|
entity |
| Predicate | portrayalOfHelen |
P33121
|
FINISHED |
| Object | innocent of adultery |
—
|
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: innocent of adultery | Statement: [Euripides' Helen, portrayalOfHelen, innocent of adultery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portrayalOfHelen Context triple: [Euripides' Helen, portrayalOfHelen, innocent of adultery]
-
A.
portraysApolloAs
Indicates that one entity represents or depicts Apollo in a particular way or role.
-
B.
roleInHecuba
Indicates that an entity has a specific role or character assignment in the play *Hecuba*.
-
C.
portrayalLedTo
chosen
Indicates that one entity’s portrayal of another caused or significantly contributed to a subsequent outcome, reaction, or state involving that other entity.
-
D.
relationshipToHecuba
Indicates a familial or social connection that an entity has with Hecuba.
-
E.
HeraBribe
Indicates that Hera offers something of value as a bribe to influence or persuade another entity to act in her favor.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65428081c8190b394c442f4c2a9a6 |
completed | April 20, 2026, 4:28 p.m. |
| PD | Predicate disambiguation | batch_69e5305858108190bbbfdb9ba3ab9f80 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:49 p.m.