Triple
T11420627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ManpowerGroup |
E270607
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Experis |
E55020
|
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: Experis | Statement: [ManpowerGroup, brand, Experis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Experis Context triple: [ManpowerGroup, brand, Experis]
-
A.
Cognizant
Cognizant is a multinational information technology services and consulting company known for providing digital, technology, consulting, and operations services to clients worldwide.
-
B.
ManpowerGroup
chosen
ManpowerGroup is a global workforce solutions and staffing services company that provides recruitment, talent management, and outsourcing services to businesses worldwide.
-
C.
Accenture
Accenture is a global professional services company specializing in consulting, technology, and outsourcing solutions for businesses and governments worldwide.
-
D.
Capgemini
Capgemini is a global consulting, technology services, and digital transformation company headquartered in France.
-
E.
HCL Technologies
HCL Technologies is a global Indian IT services and consulting company known for providing software development, infrastructure management, and digital transformation solutions to enterprises worldwide.
- 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_69d6aaddeaa8819088b30ef7b50598c9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d801b20ce08190befc98379b879985 |
completed | April 9, 2026, 7:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5b88f80d88190b91b63d0b7457c25 |
completed | April 20, 2026, 5:24 a.m. |
Created at: April 8, 2026, 9:34 p.m.