Triple
T23100169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of El |
E576002
|
entity |
| Predicate | notableMember |
P10
|
FINISHED |
| Object | Seg-El |
—
|
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: Seg-El | Statement: [House of El, notableMember, Seg-El]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seg-El Context triple: [House of El, notableMember, Seg-El]
-
A.
Seg-El
chosen
Seg-El is the protagonist of the TV series "Krypton," a young Kryptonian and grandfather of Superman who fights to restore his family's honor and save his planet's future.
-
B.
Ségala
Ségala is a rural region in southern France known for its hilly landscapes, cereal cultivation, and traditional agricultural villages.
-
C.
Segin
Segin is a bright star in the constellation Cassiopeia, forming part of its distinctive "W"-shaped asterism in the northern sky.
-
D.
SÉG
SÉG is the station code for Ségur, a Paris Métro station on Line 10 in the 15th arrondissement of Paris, France.
-
E.
Sema Naga
Sema Naga are an indigenous Naga ethnic community of northeastern India known for their distinct language, rich warrior traditions, and vibrant festivals.
- 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.