Triple
T38387929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jimbo’s Lullaby |
E899629
|
entity |
| Predicate | intendedPerformerAge |
P197118
|
FINISHED |
| Object | adult pianist |
—
|
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: adult pianist | Statement: [Jimbo’s Lullaby, intendedPerformerAge, adult pianist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedPerformerAge Context triple: [Jimbo’s Lullaby, intendedPerformerAge, adult pianist]
-
A.
performerAgeAtRecording
Indicates the age of the performer at the time the recording was made.
-
B.
intendedForAgeGroup
Indicates that something is designed, suitable, or targeted for use by a specific age group.
-
C.
performedForAgeGroup
Indicates that an action or performance is specifically intended for, targeted at, or carried out on behalf of a particular age group.
-
D.
performerAgeAtRelease
Indicates the age of a performer at the time a work (such as a recording or performance) is released.
-
E.
hasPerformerBirthYear
Indicates that a performer is associated with a specific year in which they were born.
- 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_69f76e5c9b808190b486523f5c2f817d |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fe779248c081909f0ed1a2a0df23db |
completed | May 8, 2026, 11:53 p.m. |
| PD | Predicate disambiguation | batch_69fe76eaf6d48190998bc7168749cc42 |
completed | May 8, 2026, 11:51 p.m. |
| PDg | Predicate description generation | batch_69fe779167648190936bd49cc1049178 |
completed | May 8, 2026, 11:53 p.m. |
Created at: May 3, 2026, 4:31 p.m.