Triple
T5135446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Micheal |
E115807
|
entity |
| Predicate | hasNameUsageNote |
P24534
|
FINISHED |
| Object | often considered an alternative or incorrect spelling of Michael |
—
|
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: often considered an alternative or incorrect spelling of Michael | Statement: [Micheal, hasNameUsageNote, often considered an alternative or incorrect spelling of Michael]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNameUsageNote Context triple: [Micheal, hasNameUsageNote, often considered an alternative or incorrect spelling of Michael]
-
A.
hasUsageNote
chosen
Indicates that there is an associated explanatory note describing how or when something should be used.
-
B.
hasGivenNameUsage
Indicates that an entity is associated with a particular way or context in which its given name is used.
-
C.
isNotedOn
Indicates that information about one entity is recorded, mentioned, or annotated on another entity (such as a document, record, or medium).
-
D.
usedAsNameSourceFor
Indicates that one entity serves as the origin or basis from which another entity’s name is derived.
-
E.
usesNameSince
Indicates that an entity has been using a particular name continuously starting from a specified point in time.
- F. None of above.
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_69bd44459a988190a772a5c2ec6a1965 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7fef2e8c8190982dd67f50295ada |
completed | March 20, 2026, 5:12 p.m. |
| PD | Predicate disambiguation | batch_69bd77ac2fc48190abeebb003a82384c |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:43 p.m.