Triple
T20652372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beauty and the Beat |
E507528
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | This Town |
—
|
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: This Town | Statement: [Beauty and the Beat, hasPart, This Town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: This Town Context triple: [Beauty and the Beat, hasPart, This Town]
-
A.
This Town
chosen
"This Town" is the debut solo single by Irish singer-songwriter Niall Horan, a mellow acoustic pop ballad reflecting on past love.
-
B.
Town to Town
"Town to Town" is a 1981 contemporary Christian and progressive rock album by virtuoso guitarist and singer-songwriter Phil Keaggy.
-
C.
Red Town
Red Town is a historical region associated with the settlement of Krasnaya Sloboda, known for its cultural and regional significance.
-
D.
The Town
The Town is a 1957 novel by William Faulkner, part of his Snopes trilogy, that explores the rise of the Snopes family and the changing social fabric of the fictional Yoknapatawpha County.
-
E.
The Town
"The Town" is a moody, atmospheric R&B track by The Weeknd that showcases his signature dark, introspective storytelling and vocal style.
- 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_69e0b4bf58c081908e52a4500e03ff83 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af22d6bc8190b9d6877aba5704eb |
completed | April 20, 2026, 10:56 p.m. |
Created at: April 16, 2026, 11:43 a.m.