Triple
T23920537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forward Look styling (1950s) |
E602200
|
entity |
| Predicate | notableExampleModel |
P1503
|
FINISHED |
| Object | 1957 Plymouth Belvedere |
—
|
NE NERFINISHED |
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: 1957 Plymouth Belvedere | Statement: [Forward Look styling (1950s), notableExampleModel, 1957 Plymouth Belvedere]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableExampleModel Context triple: [Forward Look styling (1950s), notableExampleModel, 1957 Plymouth Belvedere]
-
A.
notableModel
chosen
Indicates that an entity is a particularly important, influential, or exemplary instance or version within a broader category or system.
-
B.
notableExampleBy
Indicates that something serves as a prominent or illustrative example provided or created by a particular entity.
-
C.
notableExampleAt
Indicates that something serves as a prominent or illustrative example of something else in a particular context or location.
-
D.
notableModelDeveloped
Indicates that an entity is recognized for having created, designed, or developed a significant or noteworthy model.
-
E.
notableDemo
Indicates that an entity is particularly well known or recognized for a specific demonstration, example, or showcase.
- 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_69e2953a187081908346a9f36e85fc98 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cf1772e08190a434c91f4e7437b4 |
completed | April 29, 2026, 9:27 a.m. |
| PD | Predicate disambiguation | batch_69f16151ebdc819086e9e1d7cc1f4f3c |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:41 p.m.