Triple
T10790942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacques Demy |
E254574
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Parking
Parking is a 1985 French musical fantasy film by Jacques Demy that reimagines the Orpheus myth in a contemporary setting.
|
E886059
|
NE FINISHED |
How this triple was built (4 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: Parking | Statement: [Jacques Demy, notableWork, Parking]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parking Context triple: [Jacques Demy, notableWork, Parking]
-
A.
Popular End parking
Popular End parking is a car park commonly used by visitors accessing the Popular End climbing and walking areas of Stanage Edge in the Peak District.
-
B.
Parkar
Parkar is a less common spelling variant of the surname Parker, which is of English origin.
-
C.
Parkend
Parkend is a small village situated within England’s historic Forest of Dean, known for its woodland surroundings and industrial heritage.
-
D.
Parkring
Parkring is a central boulevard in Vienna that forms part of the historic Ringstrasse, known for its grand architecture and proximity to prominent parks and landmarks.
-
E.
The Parking Garage
"The Parking Garage" is a famous Seinfeld episode in which the four main characters wander a multi-level parking structure, unable to find their car, turning a mundane situation into escalating absurdity.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Parking Triple: [Jacques Demy, notableWork, Parking]
Generated description
Parking is a 1985 French musical fantasy film by Jacques Demy that reimagines the Orpheus myth in a contemporary setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Parking Target entity description: Parking is a 1985 French musical fantasy film by Jacques Demy that reimagines the Orpheus myth in a contemporary setting.
-
A.
Popular End parking
Popular End parking is a car park commonly used by visitors accessing the Popular End climbing and walking areas of Stanage Edge in the Peak District.
-
B.
Parkar
Parkar is a less common spelling variant of the surname Parker, which is of English origin.
-
C.
Parkend
Parkend is a small village situated within England’s historic Forest of Dean, known for its woodland surroundings and industrial heritage.
-
D.
Parkring
Parkring is a central boulevard in Vienna that forms part of the historic Ringstrasse, known for its grand architecture and proximity to prominent parks and landmarks.
-
E.
The Parking Garage
"The Parking Garage" is a famous Seinfeld episode in which the four main characters wander a multi-level parking structure, unable to find their car, turning a mundane situation into escalating absurdity.
- F. None of above. chosen
Provenance (5 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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d732f5b8248190a633dc44ae620a3a |
completed | April 9, 2026, 5:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de5637ec50819087f1a0372f89197d |
completed | April 14, 2026, 2:59 p.m. |
| NEDg | Description generation | batch_69de5eadb9448190bdf69711394e2ab7 |
completed | April 14, 2026, 3:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69de607917808190922df6521d7bfb07 |
completed | April 14, 2026, 3:42 p.m. |
Created at: April 8, 2026, 9:17 p.m.