Triple
T2026898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parker |
E44427
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Parkar
Parkar is a less common spelling variant of the surname Parker, which is of English origin.
|
E226609
|
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: Parkar | Statement: [Parker, hasVariant, Parkar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parkar Context triple: [Parker, hasVariant, Parkar]
-
A.
Playacar
Playacar is an upscale, gated resort and residential area in Playa del Carmen known for its all-inclusive hotels, golf course, and beachfront vacation properties.
-
B.
Bilen
Bilen is a Cushitic language spoken primarily by the Bilen people in central Eritrea.
-
C.
Carr
Carr is a common English and Irish surname with multiple notable bearers across fields such as sports, politics, and the arts.
-
D.
Carris
Carris is the main public transport company in Lisbon, Portugal, operating the city's buses, trams, and certain historic lifts.
-
E.
L’Auto
L’Auto was a French sports newspaper best known for creating and organizing the Tour de France.
- 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: Parkar Triple: [Parker, hasVariant, Parkar]
Generated description
Parkar is a less common spelling variant of the surname Parker, which is of English origin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Parkar Target entity description: Parkar is a less common spelling variant of the surname Parker, which is of English origin.
-
A.
Playacar
Playacar is an upscale, gated resort and residential area in Playa del Carmen known for its all-inclusive hotels, golf course, and beachfront vacation properties.
-
B.
Bilen
Bilen is a Cushitic language spoken primarily by the Bilen people in central Eritrea.
-
C.
Carr
Carr is a common English and Irish surname with multiple notable bearers across fields such as sports, politics, and the arts.
-
D.
Carris
Carris is the main public transport company in Lisbon, Portugal, operating the city's buses, trams, and certain historic lifts.
-
E.
L’Auto
L’Auto was a French sports newspaper best known for creating and organizing the Tour de France.
- 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_69a889144f2481909932f0746a93023d |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb91055d88190a980e7b42e5895d4 |
completed | March 7, 2026, 5:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0afc9e3c8190a045ef1c987c4141 |
completed | March 8, 2026, 11:49 p.m. |
| NEDg | Description generation | batch_69ae0d524a048190ac290b0a9939d2bf |
completed | March 8, 2026, 11:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae0dbf06008190b595de89f17c0104 |
completed | March 9, 2026, 12:01 a.m. |
Created at: March 4, 2026, 7:38 p.m.