Triple
T19553217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | What You Know |
E489242
|
entity |
| Predicate | featuresHeavyProduction |
P136566
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [What You Know, featuresHeavyProduction, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresHeavyProduction Context triple: [What You Know, featuresHeavyProduction, true]
-
A.
featuresDarkProduction
Indicates that something includes or is characterized by a dark or moody style of production.
-
B.
increasesProductionOf
Indicates that one entity causes a rise or enhancement in the amount or rate at which another entity is produced.
-
C.
featuresProducer
Indicates that an entity serves as the producer or creator responsible for generating the features of another entity.
-
D.
hasSoulfulProduction
Indicates that something (typically a piece of music) features production characterized by emotional depth, warmth, and stylistic elements associated with soul music.
-
E.
majorProductionHub
Indicates that a location serves as a primary center where large-scale production or manufacturing activities are concentrated.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63d315c68819087402802d624a8c9 |
completed | April 20, 2026, 2:50 p.m. |
| PD | Predicate disambiguation | batch_69e514d4df3c8190b7e9b3b4fdf9452a |
completed | April 19, 2026, 5:45 p.m. |
| PDg | Predicate description generation | batch_69e51796b4c48190b721114dde654bd7 |
completed | April 19, 2026, 5:57 p.m. |
Created at: April 10, 2026, 1:41 p.m.