Triple
T17185017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rey Washam |
E417081
|
entity |
| Predicate | associatedBand |
P6597
|
FINISHED |
| Object | Didjits |
E1254478
|
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: Didjits | Statement: [Rey Washam, associatedBand, Didjits]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Didjits Context triple: [Rey Washam, associatedBand, Didjits]
-
A.
Didjits
chosen
Didjits were an American punk rock band known for their fast, aggressive sound and association with the underground indie label Touch and Go Records.
-
B.
Dingodile
Dingodile is a recurring Crash Bandicoot series villain, a hybrid of a dingo and a crocodile known for wielding a flamethrower and serving as a boss character.
-
C.
Di'Ja
Di'Ja is a Nigerian-Sierra Leonean singer and songwriter known for her Afro-pop and R&B music and for gaining prominence in the African music scene in the 2010s.
-
D.
Jordils
Jordils is a metro station in Lausanne, Switzerland, located on the city’s M2 metro line.
-
E.
Yotes
Yotes is the informal nickname for the University of South Dakota’s athletic teams, the South Dakota Coyotes.
- 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42d9556c881908ccaee4ef77dbe1f |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fcc424081908a7e74df0523443e |
completed | May 11, 2026, 4:49 a.m. |
Created at: April 10, 2026, 5:37 a.m.