Triple
T16005589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pronounced ‘Lĕh-’nérd ‘Skin-’nérd |
E388207
|
entity |
| Predicate | hasTitlePronunciationNote |
P103348
|
FINISHED |
| Object | title spells out pronunciation of 'Lynyrd Skynyrd' |
—
|
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: title spells out pronunciation of 'Lynyrd Skynyrd' | Statement: [Pronounced ‘Lĕh-’nérd ‘Skin-’nérd, hasTitlePronunciationNote, title spells out pronunciation of 'Lynyrd Skynyrd']
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTitlePronunciationNote Context triple: [Pronounced ‘Lĕh-’nérd ‘Skin-’nérd, hasTitlePronunciationNote, title spells out pronunciation of 'Lynyrd Skynyrd']
-
A.
hasTitleInRevisedRomanization
Indicates that an entity has a specific title expressed using the Revised Romanization system for Korean.
-
B.
hasPronunciationInformation
chosen
Indicates that there is available information describing how something is pronounced.
-
C.
hasPronunciationDifferenceFrom
Indicates that two linguistic items differ in how they are pronounced.
-
D.
hasTitleInEnglishOrthography
Indicates that an entity has a specific title expressed using English spelling and writing conventions.
-
E.
hasTitleAccentMarks
Indicates that the title contains one or more accented characters or diacritical marks.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e173b3bf6c81909230170e833d7ce7 |
completed | April 16, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69e142dc081c819082527e3fa8773460 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:55 a.m.