Triple
T5470413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Compaq |
E122816
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object | Bill Murto |
E122816
|
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: Bill Murto | Statement: [Compaq, foundedBy, Bill Murto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bill Murto Context triple: [Compaq, foundedBy, Bill Murto]
-
A.
Bill Murto
chosen
Bill Murto is an American businessman best known as one of the three co-founders of the computer company Compaq.
-
B.
James Muro
James Muro is an American cinematographer and Steadicam operator known for his dynamic camera work on films such as "Open Range" and his frequent collaborations with director Kevin Costner.
-
C.
Michael Badnarik
Michael Badnarik was a libertarian political activist, constitutional lecturer, and the Libertarian Party’s nominee for U.S. president in 2004.
-
D.
Johnson Toribiong
Johnson Toribiong is a Palauan politician and lawyer who served as the President of Palau in the early 2010s.
-
E.
Ronald Mariano
Ronald Mariano is an American politician serving as Speaker of the Massachusetts House of Representatives.
- 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_69bd46459ff48190823377457bcf7128 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd921b65f48190af7fcf89140f9ba8 |
completed | March 20, 2026, 6:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf6c737eb88190bcec6f257f653d32 |
completed | March 22, 2026, 4:13 a.m. |
Created at: March 20, 2026, 2:09 p.m.