Triple
T27660200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Botox |
E697100
|
entity |
| Predicate | peakEffectTime |
P35920
|
FINISHED |
| Object | about 2 weeks after injection |
—
|
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: about 2 weeks after injection | Statement: [Botox, peakEffectTime, about 2 weeks after injection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakEffectTime Context triple: [Botox, peakEffectTime, about 2 weeks after injection]
-
A.
effectDuration
Indicates the length of time for which an effect remains active or valid.
-
B.
peakServicePeriod
Indicates the time interval during which a service experiences its highest or most intensive level of use or operation.
-
C.
temporalEffect
Indicates a relationship where one event, state, or action produces consequences or changes that occur at a later time.
-
D.
peakUse
chosen
Indicates the time, condition, or context in which something reaches its maximum level of use or intensity.
-
E.
peakRepressionPeriod
Indicates the time span during which acts of repression are at their highest intensity or frequency.
- 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_69ef590b85a4819083ec7c12bd3c9c10 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f634a016b08190973fd3a552a9757c |
completed | May 2, 2026, 5:30 p.m. |
| PD | Predicate disambiguation | batch_69f62c1a92648190835a2c5250d8c758 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 2:36 p.m.