Triple
T37718702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Man Winter |
E939523
|
entity |
| Predicate | timeOfInfluence |
P56262
|
FINISHED |
| Object | winter season |
—
|
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: winter season | Statement: [Old Man Winter, timeOfInfluence, winter season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfInfluence Context triple: [Old Man Winter, timeOfInfluence, winter season]
-
A.
timePeriodInfluence
Indicates that one time period has an influence or shaping effect on another time period or on events occurring within it.
-
B.
impactTimeLocal
Indicates the specific local time at which an impact event occurs or is expected to occur.
-
C.
timeHorizonOfImpact
chosen
Indicates the span of time over which an action, event, or factor is expected to produce its effects or consequences.
-
D.
timeOfFall
Indicates the specific time at which a falling event occurs.
-
E.
isUnderInfluenceOf
Indicates that one entity is affected, controlled, or significantly shaped by the power, authority, or effect of another entity.
- 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_69f76edc208c8190bc8b9683f75e1024 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe59d11e9881909d2f33b7c717030e |
completed | May 8, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69fe394fdfbc8190a931926ae3635cbf |
completed | May 8, 2026, 7:28 p.m. |
Created at: May 3, 2026, 4:18 p.m.