Triple
T12564128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Havas |
E295423
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object |
Euro RSCG
Euro RSCG was a major global advertising and communications agency network that later became part of the rebranded Havas group.
|
E991301
|
NE FINISHED |
How this triple was built (4 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: Euro RSCG | Statement: [Havas, formerName, Euro RSCG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Euro RSCG Context triple: [Havas, formerName, Euro RSCG]
-
A.
RCS MediaGroup
RCS MediaGroup is a major Italian multimedia publishing company known for owning prominent newspapers, magazines, and media assets.
-
B.
McCann Erickson
McCann Erickson is a global advertising agency network known for creating major international marketing campaigns for leading brands.
-
C.
Publicis Groupe
Publicis Groupe is a major French multinational advertising and communications company and one of the world’s largest marketing services groups.
-
D.
Mindshare
Mindshare is a global media and marketing services agency known for planning and buying advertising across multiple channels for major brands.
-
E.
WPP plc
WPP plc is a British multinational advertising and public relations conglomerate and one of the world’s largest communications groups.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Euro RSCG Triple: [Havas, formerName, Euro RSCG]
Generated description
Euro RSCG was a major global advertising and communications agency network that later became part of the rebranded Havas group.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Euro RSCG Target entity description: Euro RSCG was a major global advertising and communications agency network that later became part of the rebranded Havas group.
-
A.
RCS MediaGroup
RCS MediaGroup is a major Italian multimedia publishing company known for owning prominent newspapers, magazines, and media assets.
-
B.
McCann Erickson
McCann Erickson is a global advertising agency network known for creating major international marketing campaigns for leading brands.
-
C.
Publicis Groupe
Publicis Groupe is a major French multinational advertising and communications company and one of the world’s largest marketing services groups.
-
D.
Mindshare
Mindshare is a global media and marketing services agency known for planning and buying advertising across multiple channels for major brands.
-
E.
WPP plc
WPP plc is a British multinational advertising and public relations conglomerate and one of the world’s largest communications groups.
- F. None of above. chosen
Provenance (5 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95494ae1c81908b9ee14b8ef92a65 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6558da7e0819086860bfaf394e2d8 |
completed | May 2, 2026, 7:50 p.m. |
| NEDg | Description generation | batch_69f65a0f1b2881908a7cb21c9de1a5c2 |
completed | May 2, 2026, 8:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f65ad4424c8190933759cca5d73c22 |
completed | May 2, 2026, 8:13 p.m. |
Created at: April 8, 2026, 11:49 p.m.