Triple
T19188513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thebais |
E469766
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Parthenopaeus |
—
|
NE NERFINISHED |
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: Parthenopaeus | Statement: [Thebais, mainCharacter, Parthenopaeus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parthenopaeus Context triple: [Thebais, mainCharacter, Parthenopaeus]
-
A.
Parthenopaeus
chosen
Parthenopaeus is a heroic figure in Greek mythology, one of the Seven Against Thebes, renowned for his youthful bravery and tragic death in the campaign against the city.
-
B.
Hegelochus
Hegelochus was an ancient Greek military figure known for his role in early conflicts of the Greco-Persian Wars.
-
C.
Promachonas
Promachonas is a village in northern Greece near the Bulgarian border, known as a key border crossing point and its proximity to the historic Fort Roupel.
-
D.
Nesiotes
Nesiotes was an ancient Greek sculptor known for his role in developing the austere “Severe style” that marked the transition from Archaic to Classical sculpture.
-
E.
Scytothalia
Scytothalia is a genus of brown seaweeds in the order Fucales, known from temperate marine coasts in the Southern Hemisphere.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f8a01d08819081608a6ab8c6e705 |
completed | April 20, 2026, 9:57 a.m. |
Created at: April 10, 2026, 12:07 p.m.