Triple
T1033829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lorraine Gary |
E22312
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object | Car Wash |
E49199
|
NE 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: Car Wash | Statement: [Lorraine Gary, workedOn, Car Wash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Car Wash Context triple: [Lorraine Gary, workedOn, Car Wash]
-
A.
Car Wash
chosen
Car Wash is a 1976 comedy film set in a Los Angeles car wash, known for its ensemble cast, funky soundtrack, and satirical look at working-class life.
-
B.
Orange Garage
Orange Garage is a multi-level parking facility serving visitors to the Disney Springs shopping, dining, and entertainment district at Walt Disney World Resort in Florida.
-
C.
Ventra
Ventra is the contactless fare payment system used across Chicago’s public transit network, including buses and trains.
-
D.
Lime Garage
Lime Garage is a multi-level parking facility serving visitors to the Disney Springs shopping, dining, and entertainment district at Walt Disney World Resort in Florida.
-
E.
Sunshine Cleaning
Sunshine Cleaning is a 2008 indie dramedy film about two sisters who start a crime-scene cleanup business, starring Amy Adams and Emily Blunt.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a493d848848190aed4011b34b2e8d3 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b812c9948190a37c2b1d3d32ea38 |
completed | March 1, 2026, 10:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3bc15a6c81909a71bf17b5cd4019 |
completed | March 7, 2026, 2:52 p.m. |
Created at: March 1, 2026, 7:41 p.m.