Triple
T10604987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siobhan "Shiv" Roy |
E275848
|
entity |
| Predicate | powerPosition |
P94883
|
FINISHED |
| Object | contender for control of Waystar Royco |
—
|
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: contender for control of Waystar Royco | Statement: [Siobhan "Shiv" Roy, powerPosition, contender for control of Waystar Royco]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: powerPosition Context triple: [Siobhan "Shiv" Roy, powerPosition, contender for control of Waystar Royco]
-
A.
powerBy
Indicates that one entity operates, functions, or is made possible through the energy, resources, or enabling capabilities provided by another entity.
-
B.
positionOnStatePower
Indicates a stance or viewpoint an entity holds regarding the nature, scope, or use of state power.
-
C.
powers
Indicates that one entity supplies or provides the energy, authority, or driving force that enables another entity to function or operate.
-
D.
powerStructure
Indicates how authority, control, and decision-making are distributed and organized among entities within a system or group.
-
E.
powerDirection
Indicates the direction in which power, influence, or control flows from one entity to another.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df4a5df88190b993196ca7849a88 |
completed | April 8, 2026, 11:05 p.m. |
| PD | Predicate disambiguation | batch_69d6dd72c1288190adbb5e79e94c044a |
completed | April 8, 2026, 10:57 p.m. |
| PDg | Predicate description generation | batch_69d6df463ea8819091d6683e476b4f21 |
completed | April 8, 2026, 11:05 p.m. |
Created at: April 8, 2026, 7:32 p.m.