Triple
T3139057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wu-Tang Forever |
E65598
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object | The W |
E78747
|
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: The W | Statement: [Wu-Tang Forever, followedBy, The W]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The W Context triple: [Wu-Tang Forever, followedBy, The W]
-
A.
W
W is one of the iconic white capital letters that make up the famous Hollywood Sign overlooking Los Angeles.
-
B.
W
chosen
The W is a local New York City Subway service that runs on the BMT Broadway Line in Manhattan and Queens, typically operating on weekdays.
-
C.
WU
WU is a leading European university in Vienna specializing in economics, business, and social sciences.
-
D.
WU
WU is the stock ticker symbol for Western Union, a global financial services company best known for its money transfer and payment services.
-
E.
WB
WB is the official vehicle registration code used for motor vehicles registered in the Indian state of West Bengal.
- 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_69ad8582f564819088c27e1f96153938 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada575bbac81909b1b95126f488809 |
completed | March 8, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b224e11c508190b69c16dfb5313fc2 |
completed | March 12, 2026, 2:28 a.m. |
Created at: March 8, 2026, 3:05 p.m.