Triple
T2971389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isaac Hayes’ custom 1972 Cadillac Eldorado |
E80287
|
entity |
| Predicate | hasCustomization |
P43516
|
FINISHED |
| Object | aesthetic enhancements |
—
|
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: aesthetic enhancements | Statement: [Isaac Hayes’ custom 1972 Cadillac Eldorado, hasCustomization, aesthetic enhancements]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCustomization Context triple: [Isaac Hayes’ custom 1972 Cadillac Eldorado, hasCustomization, aesthetic enhancements]
-
A.
customizableBy
Indicates that one entity can be modified, configured, or tailored in some way by another entity.
-
B.
hasBranding
Indicates that one entity carries, displays, or is associated with the brand identity of another entity.
-
C.
hasSpecial
Indicates that an entity possesses or is associated with a distinctive or exceptional attribute, status, or feature compared to others.
-
D.
hasCosmetics
Indicates that one entity possesses, uses, or is associated with cosmetic products or beauty-related items in relation to another entity or context.
-
E.
hasDesignOption
chosen
Indicates that an entity is associated with or offers a particular design alternative or configurable design choice.
- 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_69ad8b14ffe881908ffed62f9595c867 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9973ed6881908f11f49ca2e171df |
completed | March 8, 2026, 3:44 p.m. |
| PD | Predicate disambiguation | batch_69ad960e71f8819088179d11248c6ed0 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:58 p.m.