Triple
T3416308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rani Chandra |
E72015
|
entity |
| Predicate | targetAudienceOfSeries |
P10804
|
FINISHED |
| Object | children and young adults |
—
|
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: children and young adults | Statement: [Rani Chandra, targetAudienceOfSeries, children and young adults]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetAudienceOfSeries Context triple: [Rani Chandra, targetAudienceOfSeries, children and young adults]
-
A.
networkOfSeries
Indicates a relationship where multiple series are interconnected or grouped together as part of the same network or collection.
-
B.
hostsSeries
Indicates that an entity regularly presents, moderates, or leads a particular series (such as a show, event, or program).
-
C.
typicalAudience
chosen
Indicates the group of people for whom something (such as a work, product, or resource) is primarily intended or most suitable.
-
D.
notableSeries
Indicates that an entity is a significant or well-known installment within a particular series or franchise.
-
E.
televisionShow
Indicates that one entity is a television show associated with, or featured in relation to, another entity.
- 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_69ad85ad38e48190b7660c5118a35289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb92ae6148190958d6bb735258cab |
completed | March 8, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69adadfcbc38819080852c18240451c5 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:15 p.m.