Triple
T21813100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Make Your Bed: Little Things That Can Change Your Life...And Maybe the World |
E538524
|
entity |
| Predicate | speechYear |
P145755
|
FINISHED |
| Object | 2014 |
—
|
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: 2014 | Statement: [Make Your Bed: Little Things That Can Change Your Life...And Maybe the World, speechYear, 2014]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: speechYear Context triple: [Make Your Bed: Little Things That Can Change Your Life...And Maybe the World, speechYear, 2014]
-
A.
speechDate
Indicates the date on which a particular speech was delivered.
-
B.
campaignYear
Indicates the specific year in which a campaign takes place, is launched, or is associated with an entity.
-
C.
promotionYear
Indicates the year in which an entity was promoted to a new position, rank, or status.
-
D.
claimedYear
Indicates the year that is asserted or reported as being associated with an event, status, or fact, regardless of whether it is verified.
-
E.
broadcastYear
Indicates the year in which something (typically a program or content) was originally broadcast.
- 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_69e0c473f0f8819086c9d1b4a143bd67 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f07cc7ec1c8190a5420b44a49ae32f |
completed | April 28, 2026, 9:24 a.m. |
| PD | Predicate disambiguation | batch_69e6be815a108190be81d7c987d0c0d6 |
completed | April 21, 2026, 12:02 a.m. |
| PDg | Predicate description generation | batch_69e6c670ee608190b9cfdc09de74f0de |
completed | April 21, 2026, 12:36 a.m. |
Created at: April 16, 2026, 6:53 p.m.