Triple
T22576355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | More or Less |
E544406
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | More or Less |
—
|
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: More or Less | Statement: [More or Less, hasTitle, More or Less]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: More or Less Context triple: [More or Less, hasTitle, More or Less]
-
A.
More or Less
chosen
"More or Less" is the autobiography of British actor Kenneth More, recounting his life and career in film, theatre, and television.
-
B.
How Much More
"How Much More" is a song by the American rock band The Go-Go's from their influential 1981 debut album "Beauty and the Beat."
-
C.
Less Than One
Less Than One is a collection of autobiographical essays and literary criticism by Joseph Brodsky that reflects on his life, exile, and the nature of art and language.
-
D.
The More the Better
The More the Better is a monumental video sculpture by Korean artist Nam June Paik, renowned for its towering assemblage of television monitors and its role as an iconic work of media art.
-
E.
More and More
"More and More" is a country song co-written by Merle Kilgore that became one of his most recognized and frequently recorded compositions.
- 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_69e11e30d05481909df915354c89f0d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f15fecf1c8819091a05f2a1b93ca8a |
completed | April 29, 2026, 1:33 a.m. |
Created at: April 16, 2026, 8:53 p.m.