Triple
T5780266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gartner |
E127538
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Gartner, Inc. |
E127538
|
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: Gartner, Inc. | Statement: [Gartner, name, Gartner, Inc.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gartner, Inc. Context triple: [Gartner, name, Gartner, Inc.]
-
A.
Gartner
chosen
Gartner is a leading global research and advisory company that provides insights, advice, and tools for business and technology leaders.
-
B.
Andersen Consulting
Andersen Consulting was a major global management and technology consulting firm that later became Accenture, known for advising corporations and governments on strategy, operations, and IT.
-
C.
Accenture
Accenture is a global professional services company specializing in consulting, technology, and outsourcing solutions for businesses and governments worldwide.
-
D.
Hewlett Packard Enterprise
Hewlett Packard Enterprise is a major American multinational enterprise IT company that provides servers, storage, networking, and related services to business and government customers worldwide.
-
E.
Unisys
Unisys is an American global information technology company known for providing IT services, software, and infrastructure solutions to government and commercial clients.
- 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_69c008361fa88190aefa4dc41b051e7f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029e3f88c8190975921ff2912e543 |
completed | March 22, 2026, 5:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e7773888190bd8c3e1d7df62f5c |
completed | March 22, 2026, 11:42 p.m. |
Created at: March 22, 2026, 3:50 p.m.