Triple
T27661235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Dines |
E697126
|
entity |
| Predicate | associatedCompanyOrigin |
P201997
|
FINISHED |
| Object | Bucharest |
—
|
NE NERFINISHED |
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: Bucharest | Statement: [Daniel Dines, associatedCompanyOrigin, Bucharest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedCompanyOrigin Context triple: [Daniel Dines, associatedCompanyOrigin, Bucharest]
-
A.
associatedCompanyFoundedAs
Indicates that one company was originally established or created under a former name or organizational form that is now associated with the current company.
-
B.
associatedCompanyFoundedIn
Indicates that the related company was founded in the specified year or time period.
-
C.
parentCompanyOfOrigin
Indicates that one company is the original parent or source company from which another company was created, derived, or spun off.
-
D.
associatedCompanyHeritage
Indicates a relationship where a company is linked to a particular heritage, origin, or historical background.
-
E.
associatedCompanyGlobalScope
Indicates that there is a relationship linking an entity to a company at a global (worldwide) organizational scope.
- 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_69ef590b85a4819083ec7c12bd3c9c10 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_6a0042524d8c8190884a10fce669ae95 |
completed | May 10, 2026, 8:31 a.m. |
| PD | Predicate disambiguation | batch_6a0041e89bd881909e32764699bcb89b |
completed | May 10, 2026, 8:29 a.m. |
| PDg | Predicate description generation | batch_6a004251a1308190aa523d5365eeb9f7 |
completed | May 10, 2026, 8:31 a.m. |
Created at: April 27, 2026, 2:36 p.m.