Triple
T3368925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madame Mère |
E70905
|
entity |
| Predicate | socialRankContext |
P22188
|
FINISHED |
| Object | imperial court |
—
|
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: imperial court | Statement: [Madame Mère, socialRankContext, imperial court]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: socialRankContext Context triple: [Madame Mère, socialRankContext, imperial court]
-
A.
rankingImpact
Indicates how an entity’s position or level in a ranking is affected or influenced by another factor or action.
-
B.
socialStance
Indicates the attitude, position, or orientation one entity holds toward another in a social context.
-
C.
SSRank
chosen
Indicates a ranking relationship that orders entities based on their social status, standing, or relative importance within a specified context.
-
D.
socialComposition
Indicates the makeup or distribution of different social groups or categories within a population or community.
-
E.
socialContribution
Indicates that an entity engages in actions or provides resources that benefit society or a community beyond its own direct interests.
- 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_69ad85a729d48190afd789cd8417f289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb28a813c81909d1c71fe577e6681 |
completed | March 8, 2026, 5:31 p.m. |
| PD | Predicate disambiguation | batch_69ada4317e288190ab7d0f66e9dba65f |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:13 p.m.