Triple
T37407617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nant Capital LLC |
E929173
|
entity |
| Predicate | associatedPersonWealthStatus |
P59172
|
FINISHED |
| Object | Patrick Soon-Shiong is a billionaire |
E273954
|
NE 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: Patrick Soon-Shiong is a billionaire | Statement: [Nant Capital LLC, associatedPersonWealthStatus, Patrick Soon-Shiong is a billionaire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedPersonWealthStatus Context triple: [Nant Capital LLC, associatedPersonWealthStatus, Patrick Soon-Shiong is a billionaire]
-
A.
associatedPeopleStatus
chosen
Indicates the role, condition, or standing of people who are connected or linked to a given entity or event.
-
B.
spouseWealthStatus
Indicates the financial status or wealth level of a person’s spouse in relation to that person.
-
C.
netWorthStatus
Indicates the financial standing or wealth level of an entity relative to defined net worth categories or thresholds.
-
D.
isWealthy
Indicates that an entity possesses a high level of financial resources or assets relative to a given standard.
-
E.
associatedPersonField
Indicates that there is a person linked or connected to the subject in a relevant or contextual way.
- F. None of above.
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_69f76ebbf79c8190b85bbcf3a6be57e4 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a40770de5088190a601ce6aa6ba5a7d |
completed | June 28, 2026, 1:21 a.m. |
| PD | Predicate disambiguation | batch_6a037a13a1308190a202df66f4781855 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:16 p.m.