Triple
T3194643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U-God |
E66904
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Inspectah Deck |
E65377
|
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: Inspectah Deck | Statement: [U-God, associatedAct, Inspectah Deck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inspectah Deck Context triple: [U-God, associatedAct, Inspectah Deck]
-
A.
Inspectah Deck
chosen
Inspectah Deck is an American rapper and producer best known as a core member and sharp-lyricist of the influential hip hop group Wu-Tang Clan.
-
B.
Hurricane Deck
Hurricane Deck is an observation platform at Niagara Falls where visitors can stand extremely close to the Bridal Veil Falls and experience intense spray and wind.
-
C.
Marble Boat
The Marble Boat is an ornate lakeside pavilion in Beijing’s Summer Palace, built to resemble a stone ship and symbolizing the Qing dynasty’s imperial grandeur.
-
D.
Tembo Deck
Tembo Deck is the main high-altitude observation area of Tokyo Skytree, offering panoramic views over Tokyo from near the top of the tower.
-
E.
Corsair
Corsair is a computer hardware and peripherals company best known for its gaming-focused products such as keyboards, mice, headsets, and PC components.
- 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_69ad8588ba18819086a10951c32ecb80 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada714dbcc8190a7ad21b3c957f151 |
completed | March 8, 2026, 4:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3608e261081908b0633bf11ea655b |
completed | March 13, 2026, 12:55 a.m. |
Created at: March 8, 2026, 3:07 p.m.