Triple
T18673593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Millhouse Capital |
E456542
|
entity |
| Predicate | roleInAbramovichEmpire |
P132240
|
FINISHED |
| Object | central coordinating investment entity |
—
|
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: central coordinating investment entity | Statement: [Millhouse Capital, roleInAbramovichEmpire, central coordinating investment entity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInAbramovichEmpire Context triple: [Millhouse Capital, roleInAbramovichEmpire, central coordinating investment entity]
-
A.
roleInSyriana
Indicates that one entity has a specific role or involvement in the context of "Syriana," such as participation, function, or contribution related to it.
-
B.
roleOfPeter Seligmann
Indicates that the specified role or position is held by Peter Seligmann.
-
C.
roleInAcquisition
Indicates that an entity holds a specific role or function within an acquisition event or transaction.
-
D.
internationalRole
Indicates a role, function, or position that an entity holds within an international or cross-border context.
-
E.
roleOfAlCisneros
Indicates the specific role, position, or function that Al Cisneros holds or performs in a given context.
- 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_69d8d38f72b4819090a935175d9ca8af |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e556b41cd881908f37bf7c85e96559 |
completed | April 19, 2026, 10:27 p.m. |
| PD | Predicate disambiguation | batch_69e478db7a248190a8c6584673773923 |
completed | April 19, 2026, 6:40 a.m. |
| PDg | Predicate description generation | batch_69e484133ee48190a80f1889d79f34c9 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 11:48 a.m.