Triple
T805838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elon Musk-controlled entities |
E17429
|
entity |
| Predicate | includesInvestmentVehicles |
P21246
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Elon Musk-controlled entities, includesInvestmentVehicles, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesInvestmentVehicles Context triple: [Elon Musk-controlled entities, includesInvestmentVehicles, true]
-
A.
investsIn
Indicates that one entity allocates resources, typically money or capital, into another entity with the expectation of future returns or benefits.
-
B.
investmentType
Indicates the specific category or nature of an investment associated with an entity or transaction.
-
C.
coInvestorsIncluded
Indicates that specified co-investors are included as part of a particular investment, deal, or financial arrangement.
-
D.
vestmentStyle
Indicates the style or type of clothing or ceremonial garments associated with an entity.
-
E.
diversifiedIn
Indicates that an entity has expanded its involvement, investments, or activities across multiple different areas, sectors, or asset types.
- 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_69a4937ae8a08190b5084a03d532b30e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ace495348190aec66f35ea90bc89 |
completed | March 1, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69a4aa70973c8190adbf08302d1103a9 |
completed | March 1, 2026, 9:06 p.m. |
| PDg | Predicate description generation | batch_69a4ace369b481908ad69de6de99f5e6 |
completed | March 1, 2026, 9:17 p.m. |
Created at: March 1, 2026, 7:38 p.m.