Triple
T22574016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Win It All |
E544345
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Gene |
—
|
NE NERFINISHED |
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: Gene | Statement: [Win It All, featuresCharacter, Gene]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gene Context triple: [Win It All, featuresCharacter, Gene]
-
A.
Gene
Gene is the given name of No Malice, the American rapper best known as one half of the hip hop duo Clipse.
-
B.
Gene
chosen
Gene is a character from the 1986 fantasy drama film "The Boy Who Could Fly," which centers on a troubled boy who may possess the ability to fly and the girl who befriends him.
-
C.
GENES
GENES (Groupe des Écoles Nationales d’Économie et Statistique) is a French public higher education and research group specializing in economics, statistics, and data science, bringing together several elite institutions including ENSAE Paris.
-
D.
Genet
Genet is the surname of Jean Genet, the influential 20th-century French novelist, playwright, and poet known for his provocative explorations of crime, marginalization, and identity.
-
E.
Geneta
Geneta is a residential district and suburb within Södertälje Municipality in Sweden.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e30d05481909df915354c89f0d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f15fea683c81908fbf9f171eed3341 |
completed | April 29, 2026, 1:33 a.m. |
Created at: April 16, 2026, 8:53 p.m.