Triple
T16602306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terretektorh |
E403359
|
entity |
| Predicate | numberOfMusicians |
P123494
|
FINISHED |
| Object | 88 |
—
|
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: 88 | Statement: [Terretektorh, numberOfMusicians, 88]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMusicians Context triple: [Terretektorh, numberOfMusicians, 88]
-
A.
hasApproximateNumberOfMusicians
Indicates that an entity is associated with an estimated or approximate count of musicians involved with it.
-
B.
numberOfInstruments
Indicates the quantitative count of instruments associated with or involved in a given entity or event.
-
C.
numberOfPerformers
Indicates the quantity of performers involved in a given event, act, or performance.
-
D.
numberOfSingers
Indicates the quantity of singers involved in a particular performance, group, or musical context.
-
E.
numberOfSoloists
Indicates the quantity of individual performers who play or sing solo parts within a given musical work, performance, or section.
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35d770a048190be42180b03efba0b |
completed | April 18, 2026, 10:31 a.m. |
| PD | Predicate disambiguation | batch_69e296aabc508190b3836a91b49113ad |
completed | April 17, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69e2d7fb02f481908885a226c2191231 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 10, 2026, 5:17 a.m.