Triple
T19218117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alegría |
E480538
|
entity |
| Predicate | hasOriginalRunEnd |
P44889
|
FINISHED |
| Object | 2013 |
—
|
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: 2013 | Statement: [Alegría, hasOriginalRunEnd, 2013]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOriginalRunEnd Context triple: [Alegría, hasOriginalRunEnd, 2013]
-
A.
endOfOriginalRun
chosen
Indicates the point in time or event at which the original run or initial airing of something (such as a series, process, or program) concludes.
-
B.
hasRun
Indicates that an entity has performed or completed a running activity or event at least once in the past.
-
C.
hasEnd
Indicates that one entity serves as the terminal point, boundary, or conclusion of another entity or process.
-
D.
originalRunStatus
Indicates the initial or prior execution state of a run before any subsequent updates or changes.
-
E.
hasOriginalLocation
Indicates that an entity was initially located or situated at a specified place or position before any change or movement occurred.
- 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_69d8e8cb8c348190b52075823911c869 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa3c552c8190b22844e5b7adfc50 |
completed | April 20, 2026, 10:04 a.m. |
| PD | Predicate disambiguation | batch_69e4dcf22b3c8190bee02e3af946e114 |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:23 p.m.