Triple
T24519165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prahaar |
E606468
|
entity |
| Predicate | reactionTime |
P122270
|
FINISHED |
| Object | quick-reaction |
—
|
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: quick-reaction | Statement: [Prahaar, reactionTime, quick-reaction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reactionTime Context triple: [Prahaar, reactionTime, quick-reaction]
-
A.
winnerReactionTime
chosen
Indicates the amount of time it took the winner to react or respond in the relevant event or context.
-
B.
timePerception
Indicates how an entity subjectively experiences, interprets, or estimates the passage and duration of time.
-
C.
reaction
Indicates a chemical or physical process in which one set of substances or conditions transforms into another, often involving interaction, change, or response between entities.
-
D.
speed
Indicates the rate at which an entity moves or changes position over time.
-
E.
timingOfRace
Indicates the temporal details or schedule associated with a race, such as its start time, duration, or overall timing.
- 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_69e2c4c85778819085f5da9af3569ad5 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b0ca8081908d931aec560eae56 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:24 a.m.