Triple
T7935657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IBM THINK conference |
E184282
|
entity |
| Predicate | predecessor |
P97
|
FINISHED |
| Object | IBM World of Watson |
E184318
|
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: IBM World of Watson | Statement: [IBM THINK conference, predecessor, IBM World of Watson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IBM World of Watson Context triple: [IBM THINK conference, predecessor, IBM World of Watson]
-
A.
WATSON
WATSON is a close-up imaging camera on NASA’s Perseverance rover used to examine the fine details of Martian rocks and surface materials.
-
B.
Watson
Watson is a common English surname borne by numerous notable figures, including scientists, artists, and public personalities.
-
C.
IBM Data and AI portfolio
chosen
The IBM Data and AI portfolio is a comprehensive suite of data management, analytics, and artificial intelligence products and services designed to help organizations collect, organize, and analyze data at scale.
-
D.
Kurzweil Applied Intelligence
Kurzweil Applied Intelligence is a technology company known for pioneering speech recognition and artificial intelligence software applications.
-
E.
Adobe Sensei AI platform
Adobe Sensei AI platform is Adobe’s artificial intelligence and machine learning framework that powers intelligent features across its creative and experience products, enabling automated, context-aware tools for tasks like image editing, personalization, and content optimization.
- 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_69ca8290c21c8190906a5ca6fe2b03c4 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3aec394081909a9569c02ac372af |
completed | March 31, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5c0791e48190af18299c22f6a804 |
completed | March 31, 2026, 5:30 a.m. |
Created at: March 30, 2026, 5:08 p.m.