Triple
T22504229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zenith |
E556346
|
entity |
| Predicate | hasCompetitor |
P1375
|
FINISHED |
| Object | Mindshare |
—
|
NE NERFINISHED |
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: Mindshare | Statement: [Zenith, hasCompetitor, Mindshare]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mindshare Context triple: [Zenith, hasCompetitor, Mindshare]
-
A.
Mindshare
chosen
Mindshare is a global media and marketing services agency known for planning and buying advertising across multiple channels for major brands.
-
B.
PubMatic
PubMatic is a digital advertising technology company that provides a sell-side platform (SSP) enabling publishers to manage and optimize programmatic ad inventory and revenue.
-
C.
Publicis Sapient
Publicis Sapient is a global digital business transformation and consulting firm that combines strategy, experience design, and technology to help organizations modernize and grow.
-
D.
Xandr
Xandr is a digital advertising and analytics platform that provides tools for programmatic ad buying, selling, and campaign optimization across multiple channels.
-
E.
Magnite
Magnite is a leading independent sell-side advertising platform that helps publishers manage and monetize digital ad inventory across channels like CTV, video, and display.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e555edc81909ca803587dafd747 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15d5ac5808190a66f9111c350f4dc |
completed | April 29, 2026, 1:22 a.m. |
Created at: April 16, 2026, 8:50 p.m.