Triple
T5226444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intuit Dome |
E117999
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object | Steve Ballmer |
E113953
|
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: Steve Ballmer | Statement: [Intuit Dome, owner, Steve Ballmer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Ballmer Context triple: [Intuit Dome, owner, Steve Ballmer]
-
A.
Steve Ballmer
chosen
Steve Ballmer is an American businessman and former Microsoft CEO known for his energetic leadership style and ownership of the NBA’s Los Angeles Clippers.
-
B.
Bill Gates
Bill Gates is an American business magnate, software pioneer, and philanthropist who co-created the Windows operating system and later co-founded one of the world’s largest charitable foundations.
-
C.
Mike Lynch
Mike Lynch is a collegiate athletics administrator best known for leading the athletic department at Babson College.
-
D.
Steve Case
Steve Case is an American entrepreneur and investor best known as the co-founder and former CEO of AOL, a pioneering internet services company.
-
E.
Steven Sinofsky
Steven Sinofsky is an American technology executive and former Microsoft president best known for leading the development of Windows and Office.
- 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_69bd4466fb8c819083b806a79414d7e4 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7adc9be081909903b9f844c3d146 |
completed | March 20, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bef809189c8190b61bd386480c0222 |
completed | March 21, 2026, 7:56 p.m. |
Created at: March 20, 2026, 1:48 p.m.