Triple
T34630492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James King (Get Hard) |
E889265
|
entity |
| Predicate | hasCarWasher |
P200086
|
FINISHED |
| Object | Darnell Lewis |
—
|
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: Darnell Lewis | Statement: [James King (Get Hard), hasCarWasher, Darnell Lewis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCarWasher Context triple: [James King (Get Hard), hasCarWasher, Darnell Lewis]
-
A.
numberOfWashings
Indicates the count of times a washing or cleaning action has been performed on an entity.
-
B.
hasWashStills
Indicates that an entity possesses or is equipped with wash stills used in distillation.
-
C.
isRinseRequired
Indicates that an item or surface must be rinsed, typically with water, as a required step in a process or procedure.
-
D.
hasValet
Indicates that one entity is served or attended by another entity acting as its valet.
-
E.
hasWaterMechanics
Indicates that something includes or involves systems, features, or behaviors related to water dynamics or water-based interactions.
- 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_69f349d64a388190a013cfa9bd33fad7 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff70ecc1a481909571b18d56d982b8 |
completed | May 9, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69ff70322a3c8190837840ea42cd3093 |
completed | May 9, 2026, 5:34 p.m. |
| PDg | Predicate description generation | batch_69ff70ebec7481908d8a4124c8d531df |
completed | May 9, 2026, 5:37 p.m. |
Created at: May 1, 2026, 2:04 a.m.