Triple
T36156976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TLC Group, L.P. |
E1045760
|
entity |
| Predicate | scaleOfTransactions |
P79663
|
FINISHED |
| Object | billion-dollar leveraged buyouts |
—
|
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: billion-dollar leveraged buyouts | Statement: [TLC Group, L.P., scaleOfTransactions, billion-dollar leveraged buyouts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scaleOfTransactions Context triple: [TLC Group, L.P., scaleOfTransactions, billion-dollar leveraged buyouts]
-
A.
transactionCount
Indicates the number of transactions that have occurred involving the specified entity or between the related entities.
-
B.
spendSize
chosen
Indicates the amount or magnitude of spending associated with an entity or transaction.
-
C.
miningScale
Indicates the relative size or intensity of a mining operation or activity.
-
D.
scaleOfConfiscation
Indicates the extent or degree to which something is taken away or seized, typically by an authority.
-
E.
operationScale
Indicates the relative size, scope, or magnitude at which an operation or activity is conducted.
- F. None of above.
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_69f76e38903c8190a52887620f90aabe |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b69b333081909cadbed3fcb8ecf5 |
completed | May 3, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c2a5f8819094ad4621d7b97e0c |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:08 p.m.