Triple
T17488930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Tiger |
E425848
|
entity |
| Predicate | network |
P2637
|
FINISHED |
| Object | PBS Kids |
—
|
NE NERFINISHED |
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: PBS Kids | Statement: [Daniel Tiger, network, PBS Kids]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PBS Kids Context triple: [Daniel Tiger, network, PBS Kids]
-
A.
PBS Kids Sprout
PBS Kids Sprout was a U.S. cable television network focused on preschool children's programming, later rebranded as Universal Kids.
-
B.
PBS Kids (US TV series)
chosen
PBS Kids is an American children's television programming block and brand known for broadcasting educational and entertaining series for young audiences.
-
C.
ABC Kids
ABC Kids is an Australian children’s television channel and programming block operated by the ABC, known for broadcasting popular preschool series such as Bluey.
-
D.
PBS
PBS is a U.S. federal agency component responsible for managing and providing government office space and real property for civilian agencies.
-
E.
PBS
PBS is a U.S. public television network known for educational, scientific, and cultural programming.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451d461308190844c143dcfb61fac |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:48 a.m.