Triple
T4654830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Lattner |
E102382
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object | Xcode toolchain |
E41456
|
NE 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: Xcode toolchain | Statement: [Chris Lattner, workedOn, Xcode toolchain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xcode toolchain Context triple: [Chris Lattner, workedOn, Xcode toolchain]
-
A.
Swift toolchain
The Swift toolchain is the complete set of compilers, libraries, and development tools used to build, run, and manage Swift applications across supported platforms.
-
B.
Xcode
chosen
Xcode is Apple's integrated development environment (IDE) for creating software across macOS, iOS, watchOS, and tvOS platforms.
-
C.
Xcode Server
Xcode Server is Apple's continuous integration service for building, testing, and analyzing iOS and macOS apps developed with Xcode.
-
D.
GNU toolchain
The GNU toolchain is a collection of programming tools, including compilers, linkers, assemblers, and debuggers, widely used for building and developing software on Unix-like systems.
-
E.
macOS SDK
macOS SDK is Apple’s software development kit that provides the frameworks, tools, and APIs needed to build applications for the macOS operating system.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd43d823288190952279faa0d1d066 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6317ba70819089145766d3462e57 |
completed | March 20, 2026, 3:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfaef125c819097d79f25608302dc |
completed | March 21, 2026, 1:57 a.m. |
Created at: March 20, 2026, 1:14 p.m.