Triple
T9917010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qin Er Shi |
E185893
|
entity |
| Predicate | negativeAssessmentInHistoriography |
P675
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Qin Er Shi, negativeAssessmentInHistoriography, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: negativeAssessmentInHistoriography Context triple: [Qin Er Shi, negativeAssessmentInHistoriography, yes]
-
A.
historicalAssessment
chosen
Indicates an evaluation or judgment of something based on its historical context, significance, or development over time.
-
B.
negativeMarking
Indicates that an entity assigns or receives a penalty, deduction, or unfavorable score in response to a particular action, performance, or condition.
-
C.
negativeType
Indicates that one entity is classified as a negative, undesirable, or disfavored type in relation to another or within a given context.
-
D.
negativeFormulation
Indicates that the associated statement, condition, or requirement is expressed in a negated or prohibitive form rather than an affirmative one.
-
E.
notedByHistoriansFor
Indicates that something has been recognized, recorded, or highlighted by historians for a particular reason or characteristic.
- 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_69ca829b45f481909040f7b99a1976ed |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb540195881908f25f7dde5c66a75 |
completed | April 2, 2026, 12:16 a.m. |
| PD | Predicate disambiguation | batch_69cd1d90b8a8819081748f129c0c6ab6 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:42 p.m.