Triple
T13865975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Murphy |
E333327
|
entity |
| Predicate | writesLyricsInLanguage |
P86169
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [William Murphy, writesLyricsInLanguage, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: writesLyricsInLanguage Context triple: [William Murphy, writesLyricsInLanguage, English]
-
A.
writesLyricsIn
chosen
Indicates that an entity creates or composes song lyrics in a specified language or writing system.
-
B.
writesLyricsAbout
Indicates that one entity creates song lyrics whose subject or theme is another entity.
-
C.
hasWrittenLyricsFor
Indicates that one entity is the lyricist who has created the words for a song or musical work performed or associated with another entity.
-
D.
lyricsWrittenWith
Indicates that the lyrics were written in collaboration with or using the assistance of another party or tool.
-
E.
lyricsLanguage
Indicates the language in which the lyrics of a song or musical work are written or performed.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de23a101488190bd790b28033d38b9 |
completed | April 14, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69de05972f3881909977b4c843984f88 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:14 p.m.