Triple
T13268847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cleary |
E315998
|
entity |
| Predicate | hasVariantSpelling |
P457
|
FINISHED |
| Object |
Cleery
Cleery is a surname that functions as a variant spelling of the more common name Cleary.
|
E1031329
|
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: Cleery | Statement: [Cleary, hasVariantSpelling, Cleery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cleery Context triple: [Cleary, hasVariantSpelling, Cleery]
-
A.
Hamleys
Hamleys is a world-famous British toy store chain best known for its flagship multi-storey shop in central London.
-
B.
Penneys
Penneys is the brand name used in Ireland by Primark, a major international discount fashion and homeware retailer.
-
C.
TK Maxx
TK Maxx is a major off-price retail chain in the UK and Europe, offering discounted brand-name clothing, homeware, and accessories.
-
D.
Tee Mall
Tee Mall is a major commercial shopping center in Guangzhou, China, known for its large-scale retail, dining, and entertainment offerings.
-
E.
Geralds
Geralds is a village on the Caribbean island of Montserrat, known for hosting the island’s main airport.
- 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: Cleery Triple: [Cleary, hasVariantSpelling, Cleery]
Generated description
Cleery is a surname that functions as a variant spelling of the more common name Cleary.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cleery Target entity description: Cleery is a surname that functions as a variant spelling of the more common name Cleary.
-
A.
Hamleys
Hamleys is a world-famous British toy store chain best known for its flagship multi-storey shop in central London.
-
B.
Penneys
Penneys is the brand name used in Ireland by Primark, a major international discount fashion and homeware retailer.
-
C.
TK Maxx
TK Maxx is a major off-price retail chain in the UK and Europe, offering discounted brand-name clothing, homeware, and accessories.
-
D.
Tee Mall
Tee Mall is a major commercial shopping center in Guangzhou, China, known for its large-scale retail, dining, and entertainment offerings.
-
E.
Geralds
Geralds is a village on the Caribbean island of Montserrat, known for hosting the island’s main airport.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9901f59888190b8147836d2fcac5e |
completed | April 11, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a4cc20881909b1ca6623e5b1988 |
completed | May 3, 2026, 8:41 a.m. |
| NEDg | Description generation | batch_69f70bc5111c8190ae5b098c806bb845 |
completed | May 3, 2026, 8:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f70ca343f08190b6484f464ed40810 |
completed | May 3, 2026, 8:51 a.m. |
Created at: April 9, 2026, 9:26 p.m.