Triple
T23566658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elvis Presley’s 1969 Las Vegas engagement |
E579389
|
entity |
| Predicate | showsPerNight |
P153181
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Elvis Presley’s 1969 Las Vegas engagement, showsPerNight, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: showsPerNight Context triple: [Elvis Presley’s 1969 Las Vegas engagement, showsPerNight, 2]
-
A.
featuresNighttimeShow
Indicates that an entity offers or includes a show or performance that takes place at night.
-
B.
shows
Indicates that one entity presents, displays, or makes another entity visible or known to an audience or observer.
-
C.
numberOfShows
Indicates the total count of shows associated with or performed by a given entity.
-
D.
nightSeriesName
Indicates that a given name is the title or identifier of a particular night-time series or sequence of events.
-
E.
showsThat
Indicates that one entity demonstrates, proves, or provides evidence for the truth or validity of another.
- 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_69e245fe24588190888f3aec8407d8e3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1af6d3dcc8190bb127632e101a053 |
completed | April 29, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69f118bcc0b08190b25a8dddfd461a0e |
completed | April 28, 2026, 8:29 p.m. |
| PDg | Predicate description generation | batch_69f12760784c8190aaeff002ef31febe |
completed | April 28, 2026, 9:32 p.m. |
Created at: April 17, 2026, 6:35 p.m.