Triple
T29227785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | This Song Has No Title |
E740979
|
entity |
| Predicate | hasMainLyricist |
P23999
|
FINISHED |
| Object | Bernie Taupin |
—
|
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: Bernie Taupin | Statement: [This Song Has No Title, hasMainLyricist, Bernie Taupin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainLyricist Context triple: [This Song Has No Title, hasMainLyricist, Bernie Taupin]
-
A.
hasOriginalLyricist
Indicates that an entity (such as a musical or song) is associated with the person who first wrote its lyrics.
-
B.
hasLyric
Indicates that one entity (typically a musical work or track) contains or is associated with the lyrics provided by another entity.
-
C.
hasPrimarySongwriter
chosen
Indicates that one entity serves as the main or principal songwriter responsible for creating the songs associated with another entity.
-
D.
hasAdditionalLyricsBy
Indicates that an entity (such as a musical work or track) includes extra or modified lyrics contributed by a specified person or group beyond the original lyricist.
-
E.
hasUnknownLyricist
Indicates that the lyricist associated with a work is not known or cannot be identified.
- 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_69f07cbb12bc81908c1971d9de9a8d2a |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69ff289541e0819096eeceb8e6332650 |
completed | May 9, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_69ff281ab1988190920f0443be9f10cc |
completed | May 9, 2026, 12:27 p.m. |
Created at: April 28, 2026, 12:17 p.m.