Triple
T8863439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howard Vollum |
E210947
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object | Tektronix |
E7900
|
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: Tektronix | Statement: [Howard Vollum, founded, Tektronix]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tektronix Context triple: [Howard Vollum, founded, Tektronix]
-
A.
Tektronix
chosen
Tektronix is an American company best known for designing and manufacturing electronic test and measurement equipment such as oscilloscopes and signal analyzers.
-
B.
Oscilloscope Laboratories
Oscilloscope Laboratories is an independent film distribution company known for releasing critically acclaimed and artistically driven films.
-
C.
National Instruments
National Instruments is an American company that develops automated test and measurement systems, best known for its LabVIEW graphical programming environment and modular instrumentation hardware.
-
D.
Fluke Corporation
Fluke Corporation is a leading American manufacturer of electronic test tools and software, widely used in industrial, electrical, and calibration applications.
-
E.
Teledyne
Teledyne is an American industrial conglomerate known for its diversified operations in electronics, instrumentation, aerospace, and digital imaging technologies.
- 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_69ca838bbddc8190ab546d737e5d350f |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc610416b48190a26f0c457089ffca |
completed | April 1, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba113870819096438aebeddbf34a |
completed | April 3, 2026, 1:01 p.m. |
Created at: March 30, 2026, 6:50 p.m.