Triple
T32770983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris-Craft Industries |
E838058
|
entity |
| Predicate | boatBrandReputation |
P17845
|
FINISHED |
| Object | iconic American recreational boats |
—
|
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: iconic American recreational boats | Statement: [Chris-Craft Industries, boatBrandReputation, iconic American recreational boats]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boatBrandReputation Context triple: [Chris-Craft Industries, boatBrandReputation, iconic American recreational boats]
-
A.
boatStudio
Indicates a relationship where a boat is associated with, produced by, or represented by a particular studio or production company.
-
B.
notableBoatClass
Indicates that the subject is a notable or significant example of the specified class or type of boat.
-
C.
boatPower
Indicates a relationship where a boat is characterized by or associated with a specific power rating or propulsion strength.
-
D.
boatServiceFrom
Indicates that a boat transportation service operates starting from a specified location to one or more other locations.
-
E.
manufacturerReputation
chosen
Indicates the perceived reliability, quality, and trustworthiness associated with a product’s manufacturer.
- 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_69f3493a824c8190938489ba69041d08 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6ce6d659881909ddcec1d2966e020 |
completed | May 3, 2026, 4:26 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1667a48190b42684f6ec22dae9 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 1:13 a.m.