Triple
T24257387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eric Forman |
E603706
|
entity |
| Predicate | carOwnedByFamily |
P60619
|
FINISHED |
| Object | 1970 Oldsmobile Vista Cruiser |
—
|
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: 1970 Oldsmobile Vista Cruiser | Statement: [Eric Forman, carOwnedByFamily, 1970 Oldsmobile Vista Cruiser]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: carOwnedByFamily Context triple: [Eric Forman, carOwnedByFamily, 1970 Oldsmobile Vista Cruiser]
-
A.
vehicleFamily
Indicates that two vehicles belong to the same family or category based on shared design, platform, or lineage.
-
B.
poweredVehicleFamily
Indicates that one vehicle is part of a family or group of vehicles that share a common powered (motorized) design or platform.
-
C.
hasVehicleCollection
chosen
Indicates that an entity possesses or maintains a set or collection of vehicles.
-
D.
usedOnVehicleFamily
Indicates that something is designed or intended to be used on a particular family or category of vehicles.
-
E.
vehicleUsed
Indicates that a particular vehicle is utilized or employed in performing an action, event, or activity.
- 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_69e29540da0481909a38bdae315b7a02 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28c6395108190b5310f76e7d78c41 |
completed | April 29, 2026, 10:55 p.m. |
| PD | Predicate disambiguation | batch_69f1c450aa508190bc9d372a5f6ee47a |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:05 a.m.