Triple
T28760399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waters of March |
E731795
|
entity |
| Predicate | writerOfEnglishLyrics |
P86169
|
FINISHED |
| Object | Antônio Carlos Jobim |
—
|
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: Antônio Carlos Jobim | Statement: [Waters of March, writerOfEnglishLyrics, Antônio Carlos Jobim]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: writerOfEnglishLyrics Context triple: [Waters of March, writerOfEnglishLyrics, Antônio Carlos Jobim]
-
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.
lyricsWrittenWith
Indicates that the lyrics were written in collaboration with or using the assistance of another party or tool.
-
D.
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.
-
E.
lyricalLanguage
Indicates that something is expressed using poetic, figurative, or highly expressive language.
- 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_69f043ed68a881909e858a06bab7a247 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f658ee40088190b71e1219407690d0 |
completed | May 2, 2026, 8:05 p.m. |
| PD | Predicate disambiguation | batch_69f65760fd3081908ffe014a5e2bf069 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 6:11 a.m.