Triple
T1935178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gatekeeper |
E41427
|
entity |
| Predicate | trustsByDefault |
P32325
|
FINISHED |
| Object | Mac App Store applications |
—
|
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: Mac App Store applications | Statement: [Gatekeeper, trustsByDefault, Mac App Store applications]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trustsByDefault Context triple: [Gatekeeper, trustsByDefault, Mac App Store applications]
-
A.
trusts
chosen
Indicates that one entity has confidence in the reliability, integrity, or intentions of another entity.
-
B.
heldInTrustFor
Indicates that one party holds an asset, right, or interest on behalf of and for the benefit of another party, subject to fiduciary or trust obligations.
-
C.
typeOfTrust
Indicates the specific kind or category of trust that characterizes the relationship between entities.
-
D.
notableTrustee
Indicates that the subject serves or has served as a distinguished or prominent trustee of the object (such as an organization or institution).
-
E.
lastTrustTerritory
Indicates that an entity is the final remaining trust territory associated with another entity (such as an administering authority or system of governance).
- 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_69a88649b24c819080047f26b6db2ded |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb29c7be08190986df157bf5d7c9e |
completed | March 7, 2026, 5:07 a.m. |
| PD | Predicate disambiguation | batch_69abaff07cf88190b4883c5f17f90abd |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:35 p.m.