Triple
T262681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bigger Love |
E5570
|
entity |
| Predicate | recorded |
P9348
|
FINISHED |
| Object | 2019 |
—
|
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: 2019 | Statement: [Bigger Love, recorded, 2019]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recorded Context triple: [Bigger Love, recorded, 2019]
-
A.
recordHeld
Indicates that one entity possesses or maintains a particular record associated with another entity or context.
-
B.
hasNotableRecordingBy
Indicates that an entity (such as a work or composition) has a well-known or significant recording created or performed by a specified agent (such as an artist, ensemble, or label).
-
C.
capturedDuring
Indicates that one event or state occurred within the temporal span of another, typically representing that something was recorded, seized, or documented while a specific situation or activity was taking place.
-
D.
wrote
Indicates that an entity is the author or creator of a written work involving another entity.
-
E.
writtenDuring
Indicates that the creation or authorship of something took place within a specified time period or historical 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_69a2580a64ac8190ad76e34bb0715b5e |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25d8c7f448190af9145256f994177 |
completed | Feb. 28, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69a25b6e07748190834022a65ba6d803 |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25d0ec71081908478c800be4f7bb0 |
completed | Feb. 28, 2026, 3:12 a.m. |
Created at: Feb. 28, 2026, 2:55 a.m.