Triple
T4421375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unpredictable |
E95103
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Mike City |
E207692
|
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: Mike City | Statement: [Unpredictable, producer, Mike City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike City Context triple: [Unpredictable, producer, Mike City]
-
A.
Mike City
chosen
Mike City is an American R&B songwriter and producer best known for crafting hits for artists like Sunshine Anderson, Brandy, and Carl Thomas.
-
B.
Block City
Block City is a compact, block-themed battle arena course featured in the multiplayer Battle Mode of Mario Kart: Double Dash!!.
-
C.
Red City
Red City is a popular nickname for Marrakesh, the historic Moroccan metropolis famed for its reddish sandstone buildings and city walls.
-
D.
Bogo City
Bogo City is a component city in the northern part of Cebu province in the Philippines, known as a commercial and transport hub for surrounding rural municipalities.
-
E.
Metro City
Metro City is the fictional, superhero-populated metropolis that serves as the primary setting of the animated film "Megamind."
- 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_69b3453a36908190b95a79a297ca083c |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35521e020819099e72b9e2ccbd36d |
completed | March 13, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f62715748190abceb14396ad637d |
completed | March 14, 2026, 11:58 p.m. |
Created at: March 12, 2026, 11:30 p.m.