Triple
T17598055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phil Schiller |
E428624
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Phil Schiller |
—
|
NE NERFINISHED |
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: [Phil Schiller, name, Phil Schiller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phil Schiller Context triple: [Phil Schiller, name, 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.
Phil Klemmer
Phil Klemmer is an American television writer and producer best known for his work on genre series such as DC's Legends of Tomorrow and Chuck.
-
C.
Randy Komisar
Randy Komisar is an American venture capitalist, entrepreneur, and author known for his work with Silicon Valley startups and his role as a partner at Kleiner Perkins.
-
D.
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.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e469ecfb108190a9e7a5b380f8ab93 |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 5:51 a.m.