Triple
T25840686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam Wyly |
E650930
|
entity |
| Predicate | industryOfActivity |
P143750
|
FINISHED |
| Object | retail industry |
—
|
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: retail industry | Statement: [Sam Wyly, industryOfActivity, retail industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: industryOfActivity Context triple: [Sam Wyly, industryOfActivity, retail industry]
-
A.
industryActivities
Indicates the types of economic or business activities in which an industry or sector is engaged.
-
B.
placeOfBusinessActivity
Indicates the type or nature of business activity that is conducted at a particular place or location.
-
C.
industryStart
Indicates the point in time or event at which an industry, industrial activity, or industrial era begins.
-
D.
occupationType
Indicates the specific kind or category of work, profession, or role that an entity performs or holds.
-
E.
economicSectors
chosen
Indicates a relationship that associates entities with the economic sectors or industries in which they operate or to which they belong.
- 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_69e7ab38086081908f3a8e7e0c6efd83 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f601f8fa68819082a88280ae0c0ba0 |
completed | May 2, 2026, 1:54 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fba5248190945acf1561280799 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 22, 2026, 7:49 a.m.