Triple
T3040263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mervin |
E83107
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Mervyn |
E265917
|
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: Mervyn | Statement: [Mervin, hasVariant, Mervyn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mervyn Context triple: [Mervin, hasVariant, Mervyn]
-
A.
Mervyn
chosen
Mervyn is a masculine given name of Welsh origin, historically meaning "sea hill" or "famous friend."
-
B.
Jordan Marsh
Jordan Marsh was a prominent New England-based department store chain that operated for over a century before being absorbed into larger retail brands.
-
C.
R. H. Macy
R. H. Macy was an American businessman and founder of the iconic Macy’s department store chain.
-
D.
Hammerson
Hammerson is a major British property development and investment company specializing in retail destinations such as shopping centres and retail parks.
-
E.
Hatchards
Hatchards is a historic London bookshop, founded in 1797 and renowned as one of the oldest and most prestigious bookstores in the United Kingdom.
- 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_69ad8b2298908190a7cb4e9bdbf064d0 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9b59fea8819091796e30812df9c5 |
completed | March 8, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1decc2e3c8190abdafb11632741a0 |
completed | March 11, 2026, 9:29 p.m. |
Created at: March 8, 2026, 3:01 p.m.