Triple
T4330981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flight 5 |
E96746
|
entity |
| Predicate | featuresCreatorType |
P13180
|
FINISHED |
| Object | various artists |
—
|
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: various artists | Statement: [Flight 5, featuresCreatorType, various artists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresCreatorType Context triple: [Flight 5, featuresCreatorType, various artists]
-
A.
featuresCreator
Indicates that an entity prominently presents, highlights, or showcases a particular creator as a key associated party.
-
B.
featureType
Indicates the specific kind or category of feature that characterizes or distinguishes an entity.
-
C.
featuresWriter
Indicates that one entity serves as the writer or author responsible for creating or composing the other entity.
-
D.
creationType
Indicates the manner or process by which something was brought into existence or produced.
-
E.
creatorType
chosen
Indicates the role or category of a creator in relation to the creation of something (e.g., author, artist, director).
- 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_69b34542fd908190b11b08faad8decfd |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3514c39748190900e13e70ed8848c |
completed | March 12, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69b34f4e13fc8190a42c519f37959d27 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:13 p.m.