Triple
T1893520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mellanox Technologies |
E41924
|
entity |
| Predicate | keyPerson |
P256
|
FINISHED |
| Object | Eyal Waldman |
E209968
|
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: Eyal Waldman | Statement: [Mellanox Technologies, keyPerson, Eyal Waldman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eyal Waldman Context triple: [Mellanox Technologies, keyPerson, Eyal Waldman]
-
A.
Eyal Waldman
chosen
Eyal Waldman is an Israeli entrepreneur and engineer best known as the co-founder and longtime CEO of high-performance networking company Mellanox Technologies.
-
B.
Ashley Edward Miller
Ashley Edward Miller is an American screenwriter and producer best known for co-writing major genre films and television series, including Marvel's "Thor" and "X-Men: First Class."
-
C.
Valeria Wasserman
Valeria Wasserman is a Brazilian linguist and translator best known as the wife of renowned intellectual Noam Chomsky.
-
D.
David Fleishman
David Fleishman is an American educational administrator known for leading the Newton Public Schools district in Massachusetts.
-
E.
Avery Lipman
Avery Lipman is an American music industry executive and co-founder of Republic Records, known for helping build it into a major label representing many top-charting artists.
- 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_69a8864b6de0819098d089f6a1b910a7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb1497df08190ad90dd89f76208ca |
completed | March 7, 2026, 5:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeae9e1f4819082afdd3b8e065c01 |
completed | March 8, 2026, 9:32 p.m. |
Created at: March 4, 2026, 7:34 p.m.