Triple
T24951582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Good Burger |
E624352
|
entity |
| Predicate | originalNetworkForSketch |
P2594
|
FINISHED |
| Object | Nickelodeon |
—
|
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: Nickelodeon | Statement: [Good Burger, originalNetworkForSketch, Nickelodeon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalNetworkForSketch Context triple: [Good Burger, originalNetworkForSketch, Nickelodeon]
-
A.
originalNetworkDepicted
Indicates that one entity visually represents or portrays the original network associated with another entity.
-
B.
originalNetwork
chosen
Indicates that one entity is the original or source network from which another network or derived entity is based or obtained.
-
C.
originalNetworkBlock
Indicates that one network block is the initial or source block from which another network block is derived or defined.
-
D.
originalNetworkForThemeUse
Indicates that a particular network is the original source or provider associated with the use of a given theme.
-
E.
originalNetworkOrFormat
Indicates the network, platform, or format in which a work was first originally released or presented.
- 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_69e2ff22e4c48190a0444b5a044f14e8 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f65aa07c048190a5df30d53d8f0cf5 |
completed | May 2, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f659cc571c819097e51e531961d812 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 18, 2026, 5:57 a.m.