Triple
T17862902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quark |
E446117
|
entity |
| Predicate | hasNephew |
P5277
|
FINISHED |
| Object | Nog |
—
|
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: Nog | Statement: [Quark, hasNephew, Nog]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nog Context triple: [Quark, hasNephew, Nog]
-
A.
Nog
chosen
Nog is a Ferengi Starfleet officer from Star Trek: Deep Space Nine who becomes the first of his species to join Starfleet and undergoes significant personal growth throughout the series.
-
B.
Nogais
Nogais are a Turkic ethnic group traditionally known as semi-nomadic pastoralists of the North Caucasus and Caspian steppe regions.
-
C.
El Nozha
El Nozha is a residential district in northeastern Cairo, Egypt, known for its middle-class neighborhoods and proximity to Cairo International Airport.
-
D.
Nol
Nol is the given name of Lon Nol, the Cambodian military leader and politician who served as Prime Minister and later led the Khmer Republic in the early 1970s.
-
E.
Nobol
Nobol is a small town and canton in coastal Ecuador known for its religious significance as the birthplace of Saint Narcisa de Jesús.
- 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e49791b0c08190b04a426bd274065d |
completed | April 19, 2026, 8:51 a.m. |
Created at: April 10, 2026, 10:17 a.m.