Triple
T32606969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Side Saddle |
E833546
|
entity |
| Predicate | enteredChartDate |
P100044
|
FINISHED |
| Object | 1959-02-27 |
—
|
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: 1959-02-27 | Statement: [Side Saddle, enteredChartDate, 1959-02-27]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enteredChartDate Context triple: [Side Saddle, enteredChartDate, 1959-02-27]
-
A.
firstChartEntryDate
chosen
Indicates the date on which an entity first appeared or was recorded on a particular chart or ranking.
-
B.
enteredAt
Indicates the time or place at which an entity entered or was recorded as entering a particular context, system, or location.
-
C.
entryDate
Indicates the date on which an entity was first recorded, created, or entered into a system or context.
-
D.
firstEntranceClearedDate
Indicates the date on which an entity’s initial entrance, access, or admission was officially cleared or approved.
-
E.
ordinationDate
Indicates the date on which an individual was formally ordained to a religious office or role.
- 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_69f3492bfa648190b6ae472074634e29 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f72921cf2c8190909bb53f78bcc890 |
completed | May 3, 2026, 10:53 a.m. |
| PD | Predicate disambiguation | batch_69f7283d8cec8190b524c144948bc4ec |
completed | May 3, 2026, 10:49 a.m. |
Created at: May 1, 2026, 1:05 a.m.