Triple
T25829013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mookie |
E650607
|
entity |
| Predicate | dayDepicted |
P159325
|
FINISHED |
| Object | hottest day of the summer |
—
|
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: hottest day of the summer | Statement: [Mookie, dayDepicted, hottest day of the summer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dayDepicted Context triple: [Mookie, dayDepicted, hottest day of the summer]
-
A.
dateDepicted
Indicates that one entity specifies the calendar date on which the other entity, typically an event or scene, is depicted as occurring.
-
B.
dayOfMonth
Indicates the specific calendar day number within a given month on which something occurs or is associated.
-
C.
dateObserved
Indicates the specific date on which an event, condition, or measurement was recorded or observed.
-
D.
dayType
Indicates the classification or category of a given day based on its characteristics or role (e.g., weekday, weekend, holiday).
-
E.
dayBefore
Indicates that one day in time occurs immediately before another specific day.
- F. None of above. chosen
Provenance (4 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_69e7ab37438081908f1ccf6284839520 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6019807f08190bbeb8be744551fdf |
completed | May 2, 2026, 1:52 p.m. |
| PD | Predicate disambiguation | batch_69f4938b960081909b53c074a3e0c7c2 |
completed | May 1, 2026, 11:50 a.m. |
| PDg | Predicate description generation | batch_69f497b8abb88190bb672cf6907c4b8d |
completed | May 1, 2026, 12:08 p.m. |
Created at: April 22, 2026, 7:37 a.m.