Triple
T29250814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Salvatori |
E741560
|
entity |
| Predicate | yearCompanyFounded |
P165653
|
FINISHED |
| Object | 1933 |
—
|
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: 1933 | Statement: [Henry Salvatori, yearCompanyFounded, 1933]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearCompanyFounded Context triple: [Henry Salvatori, yearCompanyFounded, 1933]
-
A.
hasYearOfEstablishment
chosen
Indicates the specific year in which an entity was founded, created, or formally established.
-
B.
organizationTypeFounded
Indicates the type or category of organization that was established or created in a founding event.
-
C.
coFoundedInYear
Indicates that two or more entities jointly founded something (such as an organization or company) in a specified year.
-
D.
foundedAt
Indicates the time or date at which an entity (such as an organization, project, or institution) was established or created.
-
E.
foundedInYearApprox
Indicates that an entity was established or came into existence around an approximate year, rather than on a precisely known date.
- 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_69f0911eba2c8190b07cd2fdf91422c9 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f6648ce9508190a250cf77d9181422 |
completed | May 2, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69f660f2e3708190ab658652bcfc04d0 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 12:34 p.m.