Triple
T14742530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wally Lewis |
E346384
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | King Wally |
E346384
|
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: King Wally | Statement: [Wally Lewis, nickname, King Wally]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: King Wally Context triple: [Wally Lewis, nickname, King Wally]
-
A.
King Wally
chosen
King Wally is the legendary Australian rugby league playmaker Wally Lewis, renowned as one of the greatest players in the sport’s history.
-
B.
Hunter King
Hunter King is an American actress known for her roles on television series such as "The Young and the Restless" and "Life in Pieces."
-
C.
King Rinkitink
King Rinkitink is a jovial, talkative, and somewhat comical monarch from L. Frank Baum’s Oz universe, known for his love of feasting, singing, and unexpected heroism.
-
D.
King Togwaggle
King Togwaggle is a mischievous kobold king from Hearthstone known for his deck-stealing antics and chaotic, treasure-obsessed personality.
-
E.
King Krewl
King Krewl is a tyrannical ruler in L. Frank Baum’s Oz series, best known as the oppressive monarch overthrown in the book "The Scarecrow of Oz."
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7367a1c819081082cc355e385fa |
completed | April 14, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb93e94c8190beba605e26d4552c |
completed | May 8, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:30 a.m.