Triple
T23368483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oroko |
E593391
|
entity |
| Predicate | hasSubgroup |
P747
|
FINISHED |
| Object | Londo |
—
|
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: Londo | Statement: [Oroko, hasSubgroup, Londo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Londo Context triple: [Oroko, hasSubgroup, Londo]
-
A.
Komarr
Komarr is a science fiction novel in Lois McMaster Bujold’s Vorkosigan Saga, focusing on political intrigue, ecological disaster, and character-driven drama on the planet Komarr.
-
B.
Tillion
Tillion is the surname of Germaine Tillion, a renowned French ethnologist, Resistance member during World War II, and later a prominent public intellectual.
-
C.
Bestine
Bestine is a prominent desert settlement on the planet Tatooine, serving as its capital and a key hub of political and economic activity in the Star Wars universe.
-
D.
Londo Mollari
chosen
Londo Mollari is a central Centauri ambassador and politically ambitious, morally conflicted character in the science fiction television series Babylon 5.
-
E.
Tolian Soran
Tolian Soran is the primary antagonist in the film "Star Trek: Generations," a driven El-Aurian scientist obsessed with reentering the Nexus at any cost.
- 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_69e25d2593c88190bcdf4a716a94ccb2 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a0aed374819097d38f51894bee44 |
completed | April 29, 2026, 6:09 a.m. |
Created at: April 17, 2026, 5:32 p.m.