Triple
T28958814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chandelier (featuring Maddie Ziegler) |
E731834
|
entity |
| Predicate | ageOfLeadDancerAtRelease |
P79821
|
FINISHED |
| Object | approximately 11 years old |
—
|
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: approximately 11 years old | Statement: [Chandelier (featuring Maddie Ziegler), ageOfLeadDancerAtRelease, approximately 11 years old]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageOfLeadDancerAtRelease Context triple: [Chandelier (featuring Maddie Ziegler), ageOfLeadDancerAtRelease, approximately 11 years old]
-
A.
performerAgeAtRelease
chosen
Indicates the age of a performer at the time a work (such as a recording or performance) is released.
-
B.
performerAgeAtRecording
Indicates the age of the performer at the time the recording was made.
-
C.
madeDebutAtAge
Indicates the age at which an entity first appeared, performed, or participated in a particular field, event, or activity.
-
D.
ageAtBreakthroughRole
Indicates the age a person was when they achieved their breakthrough role.
-
E.
liveDebutYear
Indicates the year in which an entity first performed or appeared live (e.g., in concert, on stage, or in a live event).
- 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_69f043ee242c8190b063248b417c5a69 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f65bc00e148190b2dc4ce5d4245f1b |
completed | May 2, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69f659d02f1c8190831758ac52bb54e4 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 8:49 a.m.