Triple
T10468956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Information Society |
E246875
|
entity |
| Predicate | notableSong |
P4
|
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: [Information Society, notableSong, Repetition]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Repetition Context triple: [Information Society, notableSong, Repetition]
-
A.
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.
-
B.
Repetition
chosen
"Repetition" is a synthpop/electronic track by the American band Information Society, known for its introspective lyrics and atmospheric production.
-
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.
Quiero Repetir
"Quiero Repetir" is a reggaeton track by Puerto Rican artist Ozuna from his hit album "Odisea."
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5092ef810819093a4d1df83aeac09 |
completed | April 7, 2026, 1:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dc5c26a88190aab4a590c20191a3 |
completed | April 10, 2026, 11:17 a.m. |
Created at: April 6, 2026, 12:20 p.m.