Triple
T19139820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Misunderstood |
E468525
|
entity |
| Predicate | primarySongwritingCharacteristic |
P72546
|
FINISHED |
| Object | autobiographical lyrics |
—
|
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: autobiographical lyrics | Statement: [Mr. Misunderstood, primarySongwritingCharacteristic, autobiographical lyrics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primarySongwritingCharacteristic Context triple: [Mr. Misunderstood, primarySongwritingCharacteristic, autobiographical lyrics]
-
A.
notableSongCharacteristic
Indicates that a song is distinguished by a particular notable feature or quality, such as style, structure, or performance trait.
-
B.
featuresSongwriter
Indicates that a musical work includes or credits a particular person as its songwriter.
-
C.
lyricalPerspective
Indicates the narrative or point of view from which lyrics are expressed in a song or vocal piece.
-
D.
primaryCharacteristics
chosen
Indicates the main defining traits or features that most fundamentally characterize an entity.
-
E.
showcasesSongwriting
Indicates that something highlights or demonstrates the quality, style, or skill of a particular songwriting effort.
- 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_69d8dd0796a48190b34ce4cd9d3f3be5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3ef883c8190829138a560f2a3dc |
completed | April 20, 2026, 8:29 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b475d88190a8c15e8eb01dbfef |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:05 p.m.