Triple
T16766694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Oscar Bluth |
E407483
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Gob |
E407484
|
NE FINISHED |
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: Gob | Statement: [George Oscar Bluth, nickname, Gob]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gob Context triple: [George Oscar Bluth, nickname, Gob]
-
A.
Gob
chosen
Gob is a bumbling, self-absorbed amateur magician and eldest Bluth son from the television series "Arrested Development."
-
B.
Goba
Goba is a small Ethiopian town in the Oromia Region that serves as a primary gateway and service center for visitors to Bale Mountains National Park.
-
C.
Gooigi
Gooigi is a green, goo-like doppelgänger of Luigi from the Luigi’s Mansion series, used as a playable helper character to solve puzzles and reach otherwise inaccessible areas.
-
D.
Gogot
Gogot is a dialect of the Eastern Gurage branch of the Semitic languages spoken in Ethiopia.
-
E.
Gont
Gont is a rugged, mountainous island in Ursula K. Le Guin’s Earthsea universe, known as the homeland of the wizard Ged and the setting for several key events in the series.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b0330d6081908ce99f14c70b90f2 |
completed | April 18, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a531ea7c81908630f16f6c685d49 |
completed | May 10, 2026, 3:33 p.m. |
Created at: April 10, 2026, 5:21 a.m.