Triple
T834219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Stockholm Philharmonic Orchestra |
E18033
|
entity |
| Predicate | hasApproximateNumberOfMusicians |
P20922
|
FINISHED |
| Object | about 100 |
—
|
LITERAL 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: about 100 | Statement: [Royal Stockholm Philharmonic Orchestra, hasApproximateNumberOfMusicians, about 100]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateNumberOfMusicians Context triple: [Royal Stockholm Philharmonic Orchestra, hasApproximateNumberOfMusicians, about 100]
-
A.
hasDrummer
Indicates that one entity serves as the drummer for, or plays drums in, another entity such as a band or musical group.
-
B.
musicInstrumentation
Indicates the specific instruments or instrumental forces used to perform a piece of music.
-
C.
playedInstrument
Indicates that an entity performed or used a particular musical instrument.
-
D.
hasGuitarist
Indicates that an entity has, employs, or is associated with a guitarist as part of it.
-
E.
hasBand
Indicates that an entity is associated with or includes a particular band (e.g., musical group or band-like unit).
- 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_69a49389f44881909a608fb27d89f247 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4abb84fe081909b8f4b4202845860 |
completed | March 1, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69a4aa7c7df881909c539c3ab8ff0367 |
completed | March 1, 2026, 9:07 p.m. |
| PDg | Predicate description generation | batch_69a4ab9634948190b25ea1b2e34df87d |
completed | March 1, 2026, 9:11 p.m. |
Created at: March 1, 2026, 7:38 p.m.