Triple
T22243650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Script |
E549785
|
entity |
| Predicate | hasAssociatedAct |
P2830
|
FINISHED |
| Object | Mytown |
—
|
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: Mytown | Statement: [The Script, hasAssociatedAct, Mytown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mytown Context triple: [The Script, hasAssociatedAct, Mytown]
-
A.
Mytown
chosen
Mytown was an Irish boy band from the late 1990s that featured future The Script frontman Danny O’Donoghue.
-
B.
Toy Town
Toy Town is the colorful, whimsical village setting in Enid Blyton’s Noddy stories, inhabited by living toys and other playful characters.
-
C.
Factoryville
Factoryville is a small borough in northeastern Pennsylvania known for its rural character and proximity to regional colleges and natural attractions.
-
D.
Block City
Block City is a compact, block-themed battle arena course featured in the multiplayer Battle Mode of Mario Kart: Double Dash!!.
-
E.
Tigertown
Tigertown is a popular nickname for Clemson, South Carolina, reflecting the town’s strong association with Clemson University and its Tiger athletics.
- 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_69e11e41d9408190bd770cf282e22753 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1321655b0819091f1ddf06c67f3c2 |
completed | April 28, 2026, 10:17 p.m. |
Created at: April 16, 2026, 8:38 p.m.