Triple
T4453433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Please Please Me |
E97666
|
entity |
| Predicate | recordedInOneDay |
P56610
|
FINISHED |
| Object | most tracks recorded on 1963-02-11 |
—
|
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: most tracks recorded on 1963-02-11 | Statement: [Please Please Me, recordedInOneDay, most tracks recorded on 1963-02-11]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordedInOneDay Context triple: [Please Please Me, recordedInOneDay, most tracks recorded on 1963-02-11]
-
A.
heldOnSameDayAs
Indicates that two events or occurrences took place on the same calendar day.
-
B.
raceDayIncludes
Indicates that a particular race day schedule or event set contains or encompasses a specific race or racing-related activity.
-
C.
recorded
Indicates that one entity captured, stored, or documented information, audio, video, or data about another entity or event.
-
D.
recordedFor
Indicates that something has been documented, captured, or logged on behalf of or in association with a particular entity or context.
-
E.
sungDuring
Indicates that one entity is sung during the time span or occurrence of another event or activity.
- 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_69b3454777808190b78aa9047ba1f018 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355f49dc081908727af81b886c08d |
completed | March 13, 2026, 12:10 a.m. |
| PD | Predicate disambiguation | batch_69b34f649df081909d3cc2f6a1b8f282 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b354e1f0948190b645096b2b7037af |
completed | March 13, 2026, 12:05 a.m. |
Created at: March 12, 2026, 11:33 p.m.