Triple
T15989579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Workday |
E387789
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object | Dave Duffield |
E241490
|
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: Dave Duffield | Statement: [Workday, foundedBy, Dave Duffield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dave Duffield Context triple: [Workday, foundedBy, Dave Duffield]
-
A.
David Duffield
chosen
David Duffield is an American billionaire entrepreneur and philanthropist best known for founding the enterprise software companies PeopleSoft and Workday.
-
B.
Brian Duffield
Brian Duffield is an American screenwriter and director known for his work on genre films such as "Underwater," "Love and Monsters," and "Spontaneous."
-
C.
Scott Duxbury
Scott Duxbury is a British football executive best known for his long-standing leadership role at Watford Football Club.
-
D.
Stephen Doughty
Stephen Doughty is a British Labour Party politician who has served as a Member of Parliament and held various shadow ministerial roles.
-
E.
Eric Danchick
Eric Danchick is a film producer known for his work on the movie "Bound 2."
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157829ec08190aa4a683e29a0148a |
completed | April 16, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084a6d6308190ad57a51b380171a2 |
completed | May 10, 2026, 1:14 p.m. |
Created at: April 10, 2026, 4:54 a.m.