Triple
T577466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hellman & Friedman |
E13786
|
entity |
| Predicate | investmentStyle |
P6778
|
FINISHED |
| Object | 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: leveraged buyouts | Statement: [Hellman & Friedman, investmentStyle, leveraged buyouts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: investmentStyle Context triple: [Hellman & Friedman, investmentStyle, leveraged buyouts]
-
A.
vestmentStyle
Indicates the style or type of clothing or ceremonial garments associated with an entity.
-
B.
investmentType
Indicates the specific category or nature of an investment associated with an entity or transaction.
-
C.
investmentPhilosophy
chosen
Indicates the guiding principles or approach that an entity follows when making investment decisions.
-
D.
vests
Indicates that legal rights, ownership, or authority are conferred upon and secured in a person or entity, often becoming fully effective at a specific time or upon certain conditions.
-
E.
riskProfile
Indicates the level and characteristics of potential risk associated with an entity, action, or situation.
- 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_69a4933fa4d88190a7949cc83c08c5c1 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b68cc808190b1ba45bdad78443d |
completed | March 1, 2026, 8:02 p.m. |
| PD | Predicate disambiguation | batch_69a494c692288190b88f30299516b5ba |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:33 p.m.