Triple
T19391815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ChiefOperatingOfficerOfTheBlackstoneGroup |
E485087
|
entity |
| Predicate | roleCategory |
P5518
|
FINISHED |
| Object | operationsLeadership |
—
|
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: operationsLeadership | Statement: [ChiefOperatingOfficerOfTheBlackstoneGroup, roleCategory, operationsLeadership]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleCategory Context triple: [ChiefOperatingOfficerOfTheBlackstoneGroup, roleCategory, operationsLeadership]
-
A.
typeOfRole
chosen
Indicates that one entity specifies the kind or category of role that another entity holds or performs.
-
B.
catalogRole
Indicates that an entity holds a specific functional role or responsibility within the context of a catalog or cataloging system.
-
C.
portfolioRole
Indicates the specific function, capacity, or position an entity holds within a portfolio or collection of assets.
-
D.
roleInText
Indicates that an entity participates in a text with a specific function or capacity (e.g., author, editor, character).
-
E.
designationCategory
Indicates the classification or type of designation assigned to an entity within a broader designation system.
- 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61b45caec81909dafdf66b361effd |
completed | April 20, 2026, 12:25 p.m. |
| PD | Predicate disambiguation | batch_69e4fd602f008190aa9bc76ae17e4ce1 |
completed | April 19, 2026, 4:05 p.m. |
Created at: April 10, 2026, 1:36 p.m.