Triple
T32787992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nachtstück No. 2 in C major, Op. 23 |
E838548
|
entity |
| Predicate | hasSetCompanionWork |
P199982
|
FINISHED |
| Object | Nachtstück No. 1 in F major, Op. 23 |
—
|
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: Nachtstück No. 1 in F major, Op. 23 | Statement: [Nachtstück No. 2 in C major, Op. 23, hasSetCompanionWork, Nachtstück No. 1 in F major, Op. 23]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSetCompanionWork Context triple: [Nachtstück No. 2 in C major, Op. 23, hasSetCompanionWork, Nachtstück No. 1 in F major, Op. 23]
-
A.
hasCompanionColleague
Indicates that one entity has another entity as a colleague who also serves as a companion or close associate.
-
B.
hasCompanionCandidate
Indicates that an entity is associated with another entity that is being considered or proposed as a potential companion.
-
C.
hasPartnerInWork
Indicates that one entity collaborates professionally or is partnered with another entity in a work-related context.
-
D.
hasCompanionCase
Indicates that an entity is associated with another related case that accompanies or parallels it.
-
E.
hasCompanionRoleTo
Indicates that one entity serves in a companion or supporting role in relation to another entity.
- F. None of above. chosen
Provenance (4 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_69f3493b83f48190be335cd42465cecf |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff691f5ae481908597ce245188d31c |
completed | May 9, 2026, 5:04 p.m. |
| PD | Predicate disambiguation | batch_69ff67ceeeb081909fd00cad166c4b6a |
completed | May 9, 2026, 4:58 p.m. |
| PDg | Predicate description generation | batch_69ff691e86d0819099fdb5eca5a95632 |
completed | May 9, 2026, 5:04 p.m. |
Created at: May 1, 2026, 1:14 a.m.