Triple
T6653323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catz |
E150876
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object | Safra Catz |
E28225
|
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: Safra Catz | Statement: [Catz, usedBy, Safra Catz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Safra Catz Context triple: [Catz, usedBy, Safra Catz]
-
A.
Safra Catz
chosen
Safra Catz is an Israeli-American business executive best known as the longtime CEO of Oracle Corporation and one of the most powerful figures in the global technology industry.
-
B.
Linda Gelsinger
Linda Gelsinger is the wife of Intel CEO Pat Gelsinger and is known for her involvement in Christian ministry and family-focused activities alongside her husband.
-
C.
Diane Greene
Diane Greene is a prominent American technology executive and entrepreneur best known as a co-founder and former CEO of VMware and a former CEO of Google Cloud.
-
D.
John Donahoe
John Donahoe is an American business executive best known as the CEO of Nike, Inc. and former CEO of eBay and ServiceNow.
-
E.
Alex Karp
Alex Karp is an American billionaire entrepreneur and co-founder CEO of Palantir Technologies, known for its data analytics software used by governments and large institutions.
- 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_69c687f2c9508190a60b9aad31d3f358 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b047eb688190bca86be98ac25e39 |
completed | March 27, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6eefd800c8190806cf3dff204ca01 |
completed | March 27, 2026, 8:56 p.m. |
Created at: March 27, 2026, 2:01 p.m.