Triple
T14944856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Wing |
E372630
|
entity |
| Predicate | hasSpecialEpisode |
P16447
|
FINISHED |
| Object | Green Wing Special 1 |
E372630
|
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: Green Wing Special 1 | Statement: [Green Wing, hasSpecialEpisode, Green Wing Special 1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Green Wing Special 1 Context triple: [Green Wing, hasSpecialEpisode, Green Wing Special 1]
-
A.
Green Wing
chosen
Green Wing is a British surreal comedy television series set in a hospital, known for its ensemble cast, fast-paced editing, and offbeat, character-driven humor.
-
B.
WINGO
WINGO is the radio callsign used by Wingo, a low-cost Colombian airline operating domestic and international flights in Latin America.
-
C.
On the Wing
"On the Wing" is a dreamy, atmospheric electronic track by Owl City known for its whimsical lyrics and uplifting, synth-driven sound.
-
D.
Wild Wings
Wild Wings is a professional ice hockey team based in Schwenningen, Germany, that competes in the country’s top-tier leagues.
-
E.
Wild Wing
Wild Wing is the anthropomorphic duck mascot of the NHL's Anaheim Ducks, known for his energetic in-game antics and appearances at team events.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded68d20048190a403af85fe43dede |
completed | April 15, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e9484e8819086ca6a59d672e49d |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 2:39 a.m.