Triple
T12564134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Havas |
E295423
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object |
BETC
BETC is a prominent French advertising and communications agency known for its creative campaigns and as a key part of the Havas group.
|
E991303
|
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: BETC | Statement: [Havas, hasSubsidiary, BETC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BETC Context triple: [Havas, hasSubsidiary, BETC]
-
A.
BES
BES is the international vehicle registration code used for the Caribbean Netherlands islands of Bonaire, Sint Eustatius, and Saba.
-
B.
BEK
BEK is the IATA airport code for Bareilly Airport, a domestic airport serving the city of Bareilly in Uttar Pradesh, India.
-
C.
BEP
BEP is a United States government agency responsible for designing and producing paper currency and other secure documents.
-
D.
BTL
BTL is the IATA airport code for W. K. Kellogg Airport, a public airport serving the Battle Creek, Michigan area.
-
E.
BEAS
BEAS was the stock ticker symbol for BEA Systems, a software company best known for its enterprise middleware and WebLogic application server before being acquired by Oracle.
- 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: BETC Triple: [Havas, hasSubsidiary, BETC]
Generated description
BETC is a prominent French advertising and communications agency known for its creative campaigns and as a key part of the Havas group.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BETC Target entity description: BETC is a prominent French advertising and communications agency known for its creative campaigns and as a key part of the Havas group.
-
A.
BES
BES is the international vehicle registration code used for the Caribbean Netherlands islands of Bonaire, Sint Eustatius, and Saba.
-
B.
BEK
BEK is the IATA airport code for Bareilly Airport, a domestic airport serving the city of Bareilly in Uttar Pradesh, India.
-
C.
BEP
BEP is a United States government agency responsible for designing and producing paper currency and other secure documents.
-
D.
BTL
BTL is the IATA airport code for W. K. Kellogg Airport, a public airport serving the Battle Creek, Michigan area.
-
E.
BEAS
BEAS was the stock ticker symbol for BEA Systems, a software company best known for its enterprise middleware and WebLogic application server before being acquired by Oracle.
- 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.