Triple
T22127070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midnight Memories |
E546815
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Strong |
—
|
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: Strong | Statement: [Midnight Memories, hasPart, Strong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Strong Context triple: [Midnight Memories, hasPart, Strong]
-
A.
Strong
"Strong" is a country music solo album by Tyler Hubbard, showcasing his work apart from Florida Georgia Line.
-
B.
Strong
Strong is a surname of English origin borne by various notable individuals across fields such as politics, academia, and the arts.
-
C.
Strong
chosen
"Strong" is a pop song by Robbie Williams, released as a single from his successful 1998 album "I've Been Expecting You."
-
D.
Strongstry
Strongstry is a small settlement located within the Irwell Valley in Lancashire, England.
-
E.
Strong Motion
Strong Motion is a 1992 novel by Jonathan Franzen that explores environmental disaster, family dysfunction, and corporate malfeasance through a darkly comic, realist narrative.
- 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_69e11e39bf348190b541bfa16a7b71e0 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12982eaa08190933d3036c020f562 |
completed | April 28, 2026, 9:41 p.m. |
Created at: April 16, 2026, 8:31 p.m.