Triple
T19600726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gus "El Brendel" |
E470466
|
entity |
| Predicate | hasStageName |
P7872
|
FINISHED |
| Object | El Brendel |
—
|
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: El Brendel | Statement: [Gus "El Brendel", hasStageName, El Brendel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: El Brendel Context triple: [Gus "El Brendel", hasStageName, El Brendel]
-
A.
El Brendel
chosen
El Brendel was an American vaudeville and film comedian best known for his faux-Swedish accent and comic relief roles in early Hollywood talkies.
-
B.
Brechtel
Brechtel is a residential subarea within the Algiers neighborhood of New Orleans, Louisiana.
-
C.
Hölldobler
Hölldobler is a German surname most notably associated with Bert Hölldobler, a prominent behavioral ecologist and myrmecologist known for his research on ants.
-
D.
Teuchern
Teuchern is a small town and municipality in the German state of Saxony-Anhalt, known for its rural character and location in the historical region of southern Saxony-Anhalt.
-
E.
Rattenberg
Rattenberg is a small municipality in the Straubing-Bogen district of Lower Bavaria, Germany, known for its rural setting and traditional Bavarian character.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6407df98c8190b258ac3b690fe4b1 |
completed | April 20, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:43 p.m.