Triple
T11100451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transmeta |
E262486
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object | Mitchell Alsup |
E262486
|
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: Mitchell Alsup | Statement: [Transmeta, foundedBy, Mitchell Alsup]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mitchell Alsup Context triple: [Transmeta, foundedBy, Mitchell Alsup]
-
A.
Mitchell Alsup
chosen
Mitchell Alsup is a computer engineer best known as one of the founders of Transmeta, a company that developed innovative low-power microprocessor technologies.
-
B.
Heaven Hart
Heaven Hart is the daughter of American comedian and actor Kevin Hart.
-
C.
Carrie MacLemore
Carrie MacLemore is an American actress best known for her role in Whit Stillman’s comedy film "Damsels in Distress."
-
D.
Analeigh Tipton
Analeigh Tipton is an American actress and former figure skater and model known for her roles in films such as "Crazy, Stupid, Love" and "Warm Bodies."
-
E.
Juno Skinner
Juno Skinner is a seductive and ruthless art dealer who secretly collaborates with terrorists in the action film "True Lies."
- 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79a29ee6c819092bc0da3f9255389 |
completed | April 9, 2026, 12:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3e7f9b46881909761ed448fa5ce6e |
completed | April 18, 2026, 8:22 p.m. |
Created at: April 8, 2026, 9:27 p.m.