Triple
T7927132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don’t Take It Personal (Just One of Dem Days) |
E184093
|
entity |
| Predicate | performerAgeAtRelease |
P79821
|
FINISHED |
| Object | teenager |
—
|
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: teenager | Statement: [Don’t Take It Personal (Just One of Dem Days), performerAgeAtRelease, teenager]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performerAgeAtRelease Context triple: [Don’t Take It Personal (Just One of Dem Days), performerAgeAtRelease, teenager]
-
A.
performerAgeAtRecording
Indicates the age of the performer at the time the recording was made.
-
B.
yearCast
Indicates the specific year in which a particular cast or casting of something (such as a film, show, or performance) took place.
-
C.
recordingArtistDebutAlbum
Indicates that the subject is the recording artist who released the object as their debut album.
-
D.
ageInFirstFilm
Indicates the age a person was when they appeared in their first film.
-
E.
performerBirthName
Indicates the full name a performer was given at birth, as distinct from any stage or professional name they may use.
- F. None of above. chosen
Provenance (4 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_69ca828fe7bc819090f52c88dcd72183 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3aafdb5c8190b7f2ce5349305f78 |
completed | March 31, 2026, 3:08 a.m. |
| PD | Predicate disambiguation | batch_69cae9316e98819080be7bf1a6ff92f1 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf7882b048190baa333af9f698590 |
completed | March 30, 2026, 10:22 p.m. |
Created at: March 30, 2026, 5:07 p.m.