Triple
T34523466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Toffees |
E886337
|
entity |
| Predicate | associatedWithNicknameOrigin |
P205455
|
FINISHED |
| Object | local toffee shops near early grounds |
—
|
LITERAL 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: local toffee shops near early grounds | Statement: [The Toffees, associatedWithNicknameOrigin, local toffee shops near early grounds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithNicknameOrigin Context triple: [The Toffees, associatedWithNicknameOrigin, local toffee shops near early grounds]
-
A.
usesNicknameOf
Indicates that one entity refers to another entity by a nickname derived from or associated with that other entity’s name.
-
B.
associatedWithArtistNickname
Indicates that an entity is connected to or identified by a particular artist’s nickname or pseudonym.
-
C.
usesNicknameIn
Indicates that one entity refers to another entity by a specific nickname within a particular context or setting.
-
D.
usesNicknameFor
Indicates that one entity habitually refers to another entity by a nickname rather than their formal or given name.
-
E.
openedAsNicknameFor
Indicates that one entity was initially opened or launched using a particular nickname or informal name for it.
- F. None of above. chosen
Provenance (4 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_69f349cd7c148190aa99192b126d1527 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fbe4a08190bfe65ebd141164e9 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c80ba448190853011097a151b7e |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 2:02 a.m.