Triple
T13594917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winnie Gekko |
E324791
|
entity |
| Predicate | hasLastName |
P18
|
FINISHED |
| Object | Gekko |
E773923
|
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: Gekko | Statement: [Winnie Gekko, hasLastName, Gekko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gekko Context triple: [Winnie Gekko, hasLastName, Gekko]
-
A.
Gekko
chosen
Gekko is the IBM-designed PowerPC-based central processor used in Nintendo’s GameCube console.
-
B.
Gekko
Gekko is the lizard-themed superhero alter ego of Greg from the children's animated series "PJ Masks," known for his super strength, camouflage, and wall-climbing abilities.
-
C.
Kobra
Kobra is a spinning disk roller coaster attraction at Chessington World of Adventures in the UK.
-
D.
King Kobra
King Kobra is an American hard rock and glam metal band formed in the 1980s, known for its melodic hooks and association with prominent acts in the Los Angeles metal scene.
-
E.
Rudy Gekko
Rudy Gekko is the son of fictional corporate raider Gordon Gekko in the "Wall Street" film series.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb057f1c881909a3bb77c659a724a |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bc762a08190b5d29cef9923da84 |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:49 p.m.