Triple
T20869586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No.5 Collaborations Project |
E513854
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object | JME |
—
|
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: JME | Statement: [No.5 Collaborations Project, featuresArtist, JME]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JME Context triple: [No.5 Collaborations Project, featuresArtist, JME]
-
A.
Jme
chosen
Jme is a British grime MC, producer, and co-founder of the influential Boy Better Know collective.
-
B.
JEME
JEME is the official Spanish abbreviation for the Chief of Staff of the Army, the highest-ranking officer and principal military advisor within Spain’s land forces.
-
C.
JEM
JEM, or the Japanese Experiment Module, is Japan's primary science laboratory on the International Space Station used for a wide range of microgravity research.
-
D.
Jam
Jam is a sweet, spreadable fruit preserve made by cooking fruit with sugar until it thickens.
-
E.
Jam
Jam is a royal title historically used by rulers in parts of western India, particularly associated with the Jadeja Rajput dynasty of regions like Nawanagar (now Jamnagar) in Gujarat.
- 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_69e0b4f675cc8190b4e745225b62eb66 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c4637ec48190830023d20fb8124c |
completed | April 21, 2026, 12:27 a.m. |
Created at: April 16, 2026, 12:45 p.m.