Triple
T38345145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Good Luck!! |
E1041517
|
entity |
| Predicate | airTimeSlot |
P14564
|
FINISHED |
| Object | Sunday 21:00 JST |
—
|
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: Sunday 21:00 JST | Statement: [Good Luck!!, airTimeSlot, Sunday 21:00 JST]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airTimeSlot Context triple: [Good Luck!!, airTimeSlot, Sunday 21:00 JST]
-
A.
airTime
Indicates the duration or scheduling time during which something, typically a broadcast or performance, is transmitted or presented.
-
B.
broadcastTimeSlot
chosen
Indicates the specific time period during which a broadcast (such as a TV or radio program) is scheduled to air.
-
C.
operatesAtTime
Indicates that an action, process, or system is functioning or active during a specified time or time interval.
-
D.
flightPeriod
Indicates the time span during which a flight occurs or is scheduled to operate.
-
E.
timeSlotOfWorks
Indicates the specific time period or interval during which the works (e.g., tasks, events, or activities) are scheduled or take place.
- 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_69f76e2ad95481908c920c0e5c1c3e26 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fcc7a4d7f881908b43b960911b81e9 |
completed | May 7, 2026, 5:11 p.m. |
| PD | Predicate disambiguation | batch_69fcc589720c819089c8f500fea3c86a |
completed | May 7, 2026, 5:02 p.m. |
Created at: May 3, 2026, 4:30 p.m.