Triple
T18256298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hackage |
E437229
|
entity |
| Predicate | accessedVia |
P1985
|
FINISHED |
| Object | Stack client |
—
|
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: Stack client | Statement: [Hackage, accessedVia, Stack client]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stack client Context triple: [Hackage, accessedVia, Stack client]
-
A.
Stack Rocks
Stack Rocks is a dramatic coastal rock formation and popular seabird nesting site located along the rugged cliffs of the Pembrokeshire coast in Wales.
-
B.
The Client List
The Client List is an American drama centered on a Texas housewife who becomes a massage therapist at a spa that secretly offers sex services, a role that brought Jennifer Love Hewitt significant attention.
-
C.
Stack
Stack is a surname most notably associated with American actor and television host Robert Stack.
-
D.
Stack
chosen
Stack is a cross-platform build tool and package manager for Haskell that simplifies project setup, dependency management, and reproducible builds.
-
E.
Apollo Client
Apollo Client is a popular open-source JavaScript state management and data-fetching library designed to work seamlessly with GraphQL APIs on the client side.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4fd85ee548190a102611fcf709ad4 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 10:34 a.m.