Triple
T13729313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hurd |
E329748
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Mark Hurd |
E151233
|
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: Mark Hurd | Statement: [Hurd, hasNotableBearer, Mark Hurd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Hurd Context triple: [Hurd, hasNotableBearer, Mark Hurd]
-
A.
Mark Hurd (former)
chosen
Mark Hurd was an American technology executive best known for serving as CEO of Hewlett-Packard and later as co-CEO of Oracle Corporation.
-
B.
Brian Krzanich
Brian Krzanich is an American engineer and business executive best known for serving as CEO of Intel Corporation from 2013 to 2018.
-
C.
Eddy Cue
Eddy Cue is a senior Apple executive best known for overseeing the company’s internet software and services, including iTunes, the App Store, and iCloud.
-
D.
Pat Gelsinger
Pat Gelsinger is an American engineer and technology executive who serves as the CEO of Intel and is known for leading the company’s strategic and manufacturing turnaround efforts.
-
E.
John Chambers
John Chambers is an American business executive best known for serving as the longtime CEO and chairman of Cisco Systems.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f746cc8190abde237bbb7e6c78 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d6302e081908e2680443852d9fd |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:55 p.m.