Triple
T36021780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mairzy Doats |
E1042008
|
entity |
| Predicate | titleSpellingVariant |
P196545
|
FINISHED |
| Object | Mairzy Doats and Dozy Doats and Liddle Lamzy Divey |
—
|
NE NERFINISHED |
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: Mairzy Doats and Dozy Doats and Liddle Lamzy Divey | Statement: [Mairzy Doats, titleSpellingVariant, Mairzy Doats and Dozy Doats and Liddle Lamzy Divey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleSpellingVariant Context triple: [Mairzy Doats, titleSpellingVariant, Mairzy Doats and Dozy Doats and Liddle Lamzy Divey]
-
A.
titleVariant
Indicates that one title is an alternative or variant form of another title referring to the same work or entity.
-
B.
spellingOfNameInTitle
Indicates that the specific spelling of a person's or entity's name appears in the title of a work or resource.
-
C.
titleMisspelling
chosen
Indicates that one title is a misspelled or incorrectly written version of another title.
-
D.
titleAlsoRenderedAs
Indicates that an entity’s title is alternatively presented or rendered in another form, style, or notation.
-
E.
titleStylization
Indicates how the written form of a title is stylistically presented, such as through capitalization, spacing, punctuation, or special formatting.
- 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_69f76e2c568881909e1e21f85252b0f0 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff97637ad881908c24fe2cc6b036db |
completed | May 9, 2026, 8:21 p.m. |
| PD | Predicate disambiguation | batch_69ff96c43a808190942eeda1934602db |
completed | May 9, 2026, 8:19 p.m. |
Created at: May 3, 2026, 4:07 p.m.