Triple
T33519930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disco 2000 |
E858471
|
entity |
| Predicate | imaginesEvent |
P177065
|
FINISHED |
| Object | meeting a childhood friend in the year 2000 |
—
|
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: meeting a childhood friend in the year 2000 | Statement: [Disco 2000, imaginesEvent, meeting a childhood friend in the year 2000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: imaginesEvent Context triple: [Disco 2000, imaginesEvent, meeting a childhood friend in the year 2000]
-
A.
portraysEvent
Indicates that one entity depicts, represents, or illustrates a particular event.
-
B.
event
Indicates that there exists an occurrence or happening involving one or more entities, typically situated in time and possibly space.
-
C.
eventIn
Indicates that an event occurs within, or is situated in, a specific location, context, or larger event.
-
D.
inspiredEvent
Indicates that one event served as the motivation, cause, or creative stimulus for another event to occur or be conceived.
-
E.
eventDescription
Indicates that a textual summary or explanation is provided describing what happens in the event.
- 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_69f349781c6c819082c516b260efe7e2 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f85ca7c0819098069384b0d1ca6a |
completed | May 3, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f6f6619404819084662aef1238261c |
completed | May 3, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69f6f814fcf48190ae4504154d1b2c05 |
completed | May 3, 2026, 7:24 a.m. |
Created at: May 1, 2026, 1:39 a.m.