Triple
T14420047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portrait of the Duchesse de Chartres as Hebe |
E357558
|
entity |
| Predicate | portraysAs |
P24836
|
FINISHED |
| Object | Hebe |
E107396
|
NE 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: Hebe | Statement: [Portrait of the Duchesse de Chartres as Hebe, portraysAs, Hebe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hebe Context triple: [Portrait of the Duchesse de Chartres as Hebe, portraysAs, Hebe]
-
A.
Hebe
chosen
Hebe is the Greek goddess of youth, traditionally known as the cupbearer of the gods on Mount Olympus.
-
B.
Melina
Melina is a key resistance fighter and love interest in the science fiction film "Total Recall," known for aiding the protagonist in his struggle against a corrupt Martian regime.
-
C.
Alessandra
Alessandra is an Italian politician, former actress, and granddaughter of Benito Mussolini.
-
D.
Alessandra
Alessandra is an Italian given name, the feminine form of Alessandro, equivalent to Alexandra in English.
-
E.
Aya
Aya is a Mesopotamian goddess primarily known as the consort of the sun god Shamash and associated with dawn and light.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de910eb354819089d5d5a46919eb49 |
completed | April 14, 2026, 7:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd648784048190a9c7e95bfeec8b23 |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:18 a.m.