Triple
T10039293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Archchancellor of the Empire |
E205252
|
entity |
| Predicate | sharesRankWith |
P92066
|
FINISHED |
| Object | Archchancellor of State |
—
|
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: Archchancellor of State | Statement: [Archchancellor of the Empire, sharesRankWith, Archchancellor of State]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesRankWith Context triple: [Archchancellor of the Empire, sharesRankWith, Archchancellor of State]
-
A.
sharesStatusWith
Indicates that two entities have the same status or state within a given context.
-
B.
sharesUniverseWith
Indicates that two entities exist within the same fictional or narrative universe, implying shared continuity, setting, or canon.
-
C.
sharesIn
Indicates that one entity holds or possesses shares or ownership stakes in another entity.
-
D.
sharesBaseWith
Indicates that two entities have a common underlying base element, source, or component from which they are derived or constructed.
-
E.
sharesNameWith
Indicates that two entities have the same name or an identical naming designation.
- 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_69ca834f70e88190b2d74828b7767ec1 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcee186708190bc9fecd637b4f7e6 |
completed | April 2, 2026, 2:05 a.m. |
| PD | Predicate disambiguation | batch_69cd4b8638508190b22acc65500ec7d6 |
completed | April 1, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69cd4fed19d481909d2c7ff1114664b6 |
completed | April 1, 2026, 5:03 p.m. |
Created at: March 30, 2026, 8:55 p.m.