Triple
T31300456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Mary's Song (Oh My My My)" |
E798200
|
entity |
| Predicate | hasPronouncedHook |
P202146
|
FINISHED |
| Object | repetition of "oh my my my" |
—
|
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: repetition of "oh my my my" | Statement: ["Mary's Song (Oh My My My)", hasPronouncedHook, repetition of "oh my my my"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPronouncedHook Context triple: ["Mary's Song (Oh My My My)", hasPronouncedHook, repetition of "oh my my my"]
-
A.
hasPronaos
Indicates that a structure includes or is characterized by a pronaos, i.e., a front porch or vestibule area preceding the main interior space.
-
B.
hasSpellingWithAccent
Indicates that one form of a word or name is spelled using accented characters compared to another form.
-
C.
hasVow
Indicates that one entity has made or is bound by a formal vow or promise in relation to another entity or context.
-
D.
isMorePronouncedIn
Indicates that a particular feature, quality, or effect appears with greater intensity or prominence in one context, entity, or condition than in another.
-
E.
hasPhonographicComponent
Indicates that one entity includes, contains, or is associated with a phonographic (sound-recording) component as part of its composition or structure.
- 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_69f224e0bd4c8190aab9b29a73f7aa3c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a0059f4ffe481908dc500cee9051148 |
completed | May 10, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_6a00593a3c1881909b2ff1a29eb474b3 |
completed | May 10, 2026, 10:08 a.m. |
| PDg | Predicate description generation | batch_6a0059f41e8c8190a0c73eeae9123333 |
completed | May 10, 2026, 10:12 a.m. |
Created at: April 29, 2026, 9:14 p.m.