Triple
T17166025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strap It On |
E416610
|
entity |
| Predicate | track |
P17929
|
FINISHED |
| Object | Repetition |
E865140
|
NE FINISHED |
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: Repetition | Statement: [Strap It On, track, Repetition]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Repetition Context triple: [Strap It On, track, Repetition]
-
A.
Repetition
chosen
"Repetition" is a synthpop/electronic track by the American band Information Society, known for its introspective lyrics and atmospheric production.
-
B.
Repetition
Repetition is a philosophical work by Søren Kierkegaard (under the pseudonym Constantin Constantius) that explores the concept of repeating experiences as a way to understand existence, faith, and personal identity.
-
C.
Repeat
"Repeat" is a song featured on David Guetta's electronic dance music album "Nothing but the Beat."
-
D.
Monotony
"Monotony" is a song featured on Shakira's album "Las Mujeres Ya No Lloran."
-
E.
LOOP
LOOP is the official abbreviation for the London Loop, a long-distance walking route that circles the outskirts of Greater London.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f915622c8190a6dff0baf0288a62 |
completed | April 18, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01483b827081909619ea691c4c0e1e |
completed | May 11, 2026, 3:08 a.m. |
Created at: April 10, 2026, 5:37 a.m.