Triple
T23100260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kryptonian |
E576004
|
entity |
| Predicate | notableMember |
P10
|
FINISHED |
| Object | Faora |
—
|
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: Faora | Statement: [Kryptonian, notableMember, Faora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faora Context triple: [Kryptonian, notableMember, Faora]
-
A.
Faora-Ul
chosen
Faora-Ul is a powerful Kryptonian warrior and antagonist in the DC Comics universe, best known as a formidable enemy of Superman.
-
B.
Faist
Faist is a surname most notably associated with American actor Mike Faist, known for his work on stage and in film.
-
C.
Feore
Feore is a surname most notably associated with Canadian-American actor Colm Feore, known for his work in film, television, and theatre.
-
D.
Fómeque
Fómeque is a rural municipality in Colombia known for its Andean landscapes, agriculture, and proximity to the Chingaza National Natural Park.
-
E.
Forain
Forain is a French surname most notably associated with Jean-Louis Forain, an Impressionist painter, printmaker, and caricaturist active in late 19th- and early 20th-century Paris.
- 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_69e245c060b48190a9bd61a47a16db17 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18de81060819084ab618f05aae583 |
completed | April 29, 2026, 4:49 a.m. |
Created at: April 17, 2026, 3:58 p.m.