Triple
T22504226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zenith |
E556346
|
entity |
| Predicate | hasCompetitor |
P1375
|
FINISHED |
| Object | GroupM |
—
|
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: GroupM | Statement: [Zenith, hasCompetitor, GroupM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GroupM Context triple: [Zenith, hasCompetitor, GroupM]
-
A.
GroupM
chosen
GroupM is a leading global media investment management company that oversees and coordinates the media agencies within the WPP advertising and communications group.
-
B.
Very Group
Very Group is a major UK-based digital retail and financial services company best known for operating online retail brands such as Very.co.uk and Littlewoods.
-
C.
Group W
Group W was the media and broadcasting division of Westinghouse Electric Corporation, known for owning television and radio stations and producing syndicated programming in the United States.
-
D.
Grey Group
Grey Group is a global advertising and marketing agency network known for its creative campaigns and brand-building services for major international clients.
-
E.
Groupe G
Groupe G was a prominent Belgian World War II resistance group known for its large-scale sabotage operations against German occupation infrastructure.
- 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.