Triple
T4654838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Lattner |
E102382
|
entity |
| Predicate | coFounded |
P104
|
FINISHED |
| Object | Modular Inc. |
E457338
|
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: Modular Inc. | Statement: [Chris Lattner, coFounded, Modular Inc.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Modular Inc. Context triple: [Chris Lattner, coFounded, Modular Inc.]
-
A.
Modular Inc.
chosen
Modular Inc. is a technology company co-founded by LLVM and Swift creator Chris Lattner that focuses on building next-generation AI infrastructure and developer tools.
-
B.
Nexter Systems
Nexter Systems is a French defense company specializing in the design and manufacture of military land systems, including armored vehicles, artillery, and ammunition.
-
C.
Cybus Industries
Cybus Industries is a powerful fictional technology conglomerate in the Doctor Who universe, best known for creating an alternate-universe version of the Cybermen.
-
D.
Invetech
Invetech is a technology and product development company specializing in designing and engineering innovative medical and life science solutions.
-
E.
Kronos Incorporated
Kronos Incorporated was a workforce management and human capital management software company best known for its timekeeping, scheduling, and HR solutions used by organizations worldwide.
- 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_69be0378825881908fe3214f60be579e |
completed | March 21, 2026, 2:33 a.m. |
Created at: March 20, 2026, 1:14 p.m.