Triple
T23305336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Zizzo |
E590420
|
entity |
| Predicate | hasCollaboratedWith |
P8554
|
FINISHED |
| Object | M2M |
—
|
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: M2M | Statement: [Peter Zizzo, hasCollaboratedWith, M2M]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M2M Context triple: [Peter Zizzo, hasCollaboratedWith, M2M]
-
A.
M2M
chosen
M2M is a Norwegian pop duo best known for their late-1990s and early-2000s teen pop hits like "Don't Say You Love Me."
-
B.
oneM2M
oneM2M is a global standards initiative that develops a common service layer framework to enable interoperable machine-to-machine (M2M) and Internet of Things (IoT) systems across different industries and regions.
-
C.
MME
MME is the IATA airport code for Teesside International Airport, serving the Teesside and County Durham region in northeast England.
-
D.
MME
MME is the commonly used acronym for Brazil’s Ministry of Mines and Energy, the federal body responsible for formulating and implementing the country’s mining and energy policies.
-
E.
OMA Lightweight M2M
OMA Lightweight M2M is a device management and service enablement protocol designed by OMA SpecWorks for efficient, secure management of constrained IoT devices.
- 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_69e25d1c0ecc8190a355aa229f06d0e0 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19725b248819089e61efb82e3440f |
completed | April 29, 2026, 5:29 a.m. |
Created at: April 17, 2026, 5:05 p.m.