Triple
T23484154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terese Willis |
E570483
|
entity |
| Predicate | network |
P2637
|
FINISHED |
| Object | 10 Peach |
—
|
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: 10 Peach | Statement: [Terese Willis, network, 10 Peach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 10 Peach Context triple: [Terese Willis, network, 10 Peach]
-
A.
10 Peach
chosen
10 Peach is an Australian digital television channel owned by Network 10 that primarily broadcasts comedy, light entertainment, and youth-oriented programming.
-
B.
Big Fruit
Big Fruit is a music producer known for crafting polished, melodic hip-hop and R&B tracks for various contemporary artists.
-
C.
Puyo
Puyo is a small city in eastern Ecuador that serves as a gateway to the Amazon rainforest and a regional center for eco-tourism and trade.
-
D.
Peach's Castle
Peach's Castle is the iconic royal residence and central hub of Princess Peach in Nintendo's Super Mario video game series.
-
E.
Piku
Piku is a 2015 Indian comedy-drama film centered on the relationship between a headstrong daughter and her aging, hypochondriac father, featuring a notable performance by Amitabh Bachchan.
- 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_69e245b0b01481908f636939bedd804c |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a752c678819087e5c50b8cf87d3d |
completed | April 29, 2026, 6:38 a.m. |
Created at: April 17, 2026, 6:03 p.m.