Triple
T3987099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Young and the Restless |
E86898
|
entity |
| Predicate | notableFormatFeature |
P14840
|
FINISHED |
| Object | serial narrative |
—
|
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: serial narrative | Statement: [The Young and the Restless, notableFormatFeature, serial narrative]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableFormatFeature Context triple: [The Young and the Restless, notableFormatFeature, serial narrative]
-
A.
notableFormat
chosen
Indicates that something is particularly recognized or distinguished for being in a specific format.
-
B.
notableStyleFeature
Indicates that an entity possesses a distinctive stylistic characteristic or design element that is especially noteworthy or defining.
-
C.
featuresFormat
Indicates that something (such as a product, service, or medium) is presented, delivered, or made available in a particular format or configuration.
-
D.
notableRendering
Indicates that one entity is a significant or well-known visual or artistic depiction of another entity.
-
E.
notableText
Indicates that a particular piece of text is especially significant, prominent, or worthy of attention in relation to the associated entity or context.
- 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_69aed93fd9d4819085d3b2137d2346cb |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb81040481909b22e4c445ecae0f |
completed | March 9, 2026, 4:55 p.m. |
| PD | Predicate disambiguation | batch_69aef8f692008190bf4d637ffc3d3eaa |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:33 p.m.