Triple
T14171114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EDHEC Business School |
E351208
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | EDHEC |
E351208
|
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: EDHEC | Statement: [EDHEC Business School, shortName, EDHEC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EDHEC Context triple: [EDHEC Business School, shortName, EDHEC]
-
A.
EDHEC Business School
chosen
EDHEC Business School is a leading French grande école and international business school renowned for its finance programs, research, and global campuses.
-
B.
ESSEC Business School
ESSEC Business School is a leading French grande école and international business school renowned for its elite management programs and strong ties to the corporate world.
-
C.
Audencia Business School
Audencia Business School is a prestigious French grande école de commerce known for its high-ranking management programs and international focus.
-
D.
ENSAE Paris
ENSAE Paris is a leading French grande école specializing in statistics, economics, data science, and quantitative social sciences.
-
E.
Bordeaux École de Management
Bordeaux École de Management was a French business school based in Bordeaux that later became part of KEDGE Business School through a merger.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b5dcbc8190b0cfcce5e6c6d582 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd193f85e88190b37a37747ec9d019 |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:01 a.m.