Triple
T1953411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolff Olins |
E42208
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Orange brand identity |
E137016
|
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: Orange brand identity | Statement: [Wolff Olins, notableWork, Orange brand identity]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orange brand identity Context triple: [Wolff Olins, notableWork, Orange brand identity]
-
A.
Red Swoosh
Red Swoosh was a peer-to-peer content delivery and file-sharing startup later acquired by Akamai Technologies.
-
B.
Orange
Orange is a historic town in southeastern France best known for giving its name and origin to the Dutch royal House of Orange-Nassau.
-
C.
Orange
chosen
Orange is a major French multinational telecommunications company providing mobile, internet, and other digital services across numerous countries.
-
D.
Orange
Orange is a regional city in the Central Tablelands of New South Wales, Australia, known for its cool-climate wines, agriculture, and growing tourism industry.
-
E.
Virgin logo
The Virgin logo is the distinctive, handwritten-style red wordmark used across Richard Branson’s Virgin Group brands, symbolizing its bold, youthful, and adventurous image.
- 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_69a8870eea088190a38781990812a9bc |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb351c148819080173c09876e814a |
completed | March 7, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfbc611fc8190b2f512c744cbc364 |
completed | March 8, 2026, 10:44 p.m. |
Created at: March 4, 2026, 7:36 p.m.