Triple
T19210432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andromaque |
E480342
|
entity |
| Predicate | époqueDeLAction |
P134989
|
FINISHED |
| Object | après la guerre de Troie |
—
|
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: après la guerre de Troie | Statement: [Andromaque, époqueDeLAction, après la guerre de Troie]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: époqueDeLAction Context triple: [Andromaque, époqueDeLAction, après la guerre de Troie]
-
A.
filmEra
Indicates the historical or stylistic period in which a film was produced or to which its cinematic style belongs.
-
B.
filmBase
Indicates the primary location or headquarters from which a film-related entity (such as a production, company, or operation) is based or operates.
-
C.
action
Indicates that an entity performs, carries out, or engages in a particular activity or deed in relation to another entity or context.
-
D.
filmMovement
Indicates the cinematic movement or stylistic school with which a film is associated.
-
E.
visualGenre
Indicates the visual or stylistic category to which something belongs, such as its artistic or cinematic genre.
- 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_69d8e8cb8c348190b52075823911c869 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5f9a0d1248190953e36e44f0cafdd |
completed | April 20, 2026, 10:02 a.m. |
| PD | Predicate disambiguation | batch_69e4dcf22b3c8190bee02e3af946e114 |
completed | April 19, 2026, 1:47 p.m. |
| PDg | Predicate description generation | batch_69e4ddcf50108190a09d0f1291c17374 |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 1:21 p.m.