Triple
T12564189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Havas advertising and marketing operations |
E295424
|
entity |
| Predicate | usesOperatingModel |
P9632
|
FINISHED |
| Object | integrated agency network |
—
|
LITERAL 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: integrated agency network | Statement: [Havas advertising and marketing operations, usesOperatingModel, integrated agency network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesOperatingModel Context triple: [Havas advertising and marketing operations, usesOperatingModel, integrated agency network]
-
A.
operatingModel
chosen
Indicates how an organization structures and manages its processes, resources, and governance to deliver its products or services.
-
B.
usesProductionModel
Indicates that one entity employs or relies on another entity as its primary or official production model in practice.
-
C.
systemTypeOperated
Indicates that an entity operates, controls, or runs a particular type of system.
-
D.
usesBusinessModel
Indicates that one entity operates according to, or applies in practice, the business model defined or provided by another entity.
-
E.
usesLicensingModel
Indicates that one entity employs or applies a particular licensing model in its operations or offerings.
- F. None of above.
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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9550d84908190aea0f50055f6d92e |
completed | April 10, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69d95414692881909c52a1de7d224b44 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 11:49 p.m.