Triple
T9025904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple October 2016 Mac event |
E216046
|
entity |
| Predicate | presenter |
P83
|
FINISHED |
| Object | Phil Schiller |
E428624
|
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: Phil Schiller | Statement: [Apple October 2016 Mac event, presenter, Phil Schiller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phil Schiller Context triple: [Apple October 2016 Mac event, presenter, Phil Schiller]
-
A.
Phil Schiller
chosen
Phil Schiller is a longtime Apple executive who has played a key role in the company’s product marketing and major keynote presentations.
-
B.
Steve Levine
Steve Levine is a British record producer best known for his work in the 1980s with artists such as Culture Club and The Beach Boys.
-
C.
Jonathan I. Schwartz
Jonathan I. Schwartz is an American technology executive best known for serving as the CEO of Sun Microsystems during the mid-2000s.
-
D.
Jeff Pagliocca
Jeff Pagliocca is a basketball executive best known for serving as the general manager of the WNBA’s Chicago Sky.
-
E.
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.
- 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_69ca83a5fa88819088144801b4dd7245 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6a7ce71c81908041814dc9ec1713 |
completed | April 1, 2026, 12:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffda9697c81908a1a9e447519ce05 |
completed | April 3, 2026, 5:49 p.m. |
Created at: March 30, 2026, 7:07 p.m.