Triple
T31313172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long Story Short |
E798516
|
entity |
| Predicate | hasEraContext |
P36703
|
FINISHED |
| Object | released during the COVID-19 pandemic |
—
|
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: released during the COVID-19 pandemic | Statement: [Long Story Short, hasEraContext, released during the COVID-19 pandemic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEraContext Context triple: [Long Story Short, hasEraContext, released during the COVID-19 pandemic]
-
A.
hasEraInfluence
Indicates that one era or time period has a significant impact on shaping the characteristics, developments, or outcomes of another.
-
B.
hasEraReset
Indicates that a new era or time period has been initiated, resetting the previous temporal sequence or counting.
-
C.
appliesToEra
chosen
Indicates that something is relevant, valid, or in effect during a particular historical or temporal era.
-
D.
subjectHasEra
Indicates that a subject is associated with, defined by, or belongs to a particular historical or temporal era.
-
E.
hasPrimaryEra
Indicates that an entity is chiefly associated with or belongs to a particular historical or temporal era.
- 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_69f224e1932c81908fef14f7b03a10b7 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69edbb7648190bd89c57e0932eac1 |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d1bf8cc8190a78dfa5ab00daf3a |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 29, 2026, 9:15 p.m.