Triple
T36505662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cornelius Hawthorne |
E899452
|
entity |
| Predicate | ownsCompany |
P169359
|
FINISHED |
| Object | Hawthorne Wipes |
—
|
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: Hawthorne Wipes | Statement: [Cornelius Hawthorne, ownsCompany, Hawthorne Wipes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ownsCompany Context triple: [Cornelius Hawthorne, ownsCompany, Hawthorne Wipes]
-
A.
belongsToCompany
Indicates that an entity is owned, employed, or otherwise formally associated with a specific company.
-
B.
ownedCompany
chosen
Indicates that one entity possesses legal ownership or controlling interest in another entity that is a company.
-
C.
hasCompanyName
Indicates that an entity is associated with or identified by a specific company name.
-
D.
hasWorksIn
Indicates that one entity is employed by or performs their professional activities within the organization, location, or context represented by another entity.
-
E.
memberCompany
Indicates that a company is formally part of, or affiliated as a member with, a larger organization, group, or association.
- 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_69f76e5b92088190933afda3f7531dd4 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b91fd88190ab85afd626603769 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:10 p.m.