Triple
T26918873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treacherous |
E677589
|
entity |
| Predicate | hasEraTheme |
P162004
|
FINISHED |
| Object | transition from country to pop |
—
|
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: transition from country to pop | Statement: [Treacherous, hasEraTheme, transition from country to pop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEraTheme Context triple: [Treacherous, hasEraTheme, transition from country to pop]
-
A.
hasEraInfluence
Indicates that one era or time period has a significant impact on shaping the characteristics, developments, or outcomes of another.
-
B.
appliesToEra
Indicates that something is relevant, valid, or in effect during a particular historical or temporal era.
-
C.
subjectHasEra
Indicates that a subject is associated with, defined by, or belongs to a particular historical or temporal era.
-
D.
hasPromenadeEra
Indicates that an entity is associated with, or took place during, a specific historical or stylistic promenade era.
-
E.
hasEraReset
Indicates that a new era or time period has been initiated, resetting the previous temporal sequence or counting.
- 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_69eee9bdebc48190ba90a12a63e09c73 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f622abdfac8190988421c946411d7e |
completed | May 2, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69f620e0b37481909a280574decbd443 |
completed | May 2, 2026, 4:05 p.m. |
| PDg | Predicate description generation | batch_69f621c7d3e0819095b1f327637ae4f9 |
completed | May 2, 2026, 4:09 p.m. |
Created at: April 27, 2026, 6:06 a.m.