Triple
T5053392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barking at Airplanes |
E113839
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | Abadabadango |
E490226
|
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: Abadabadango | Statement: [Barking at Airplanes, hasSingle, Abadabadango]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abadabadango Context triple: [Barking at Airplanes, hasSingle, Abadabadango]
-
A.
Abadabadango
chosen
Abadabadango is a song featured on the album "Barking at Airplanes" by American singer-songwriter Kim Carnes.
-
B.
Candaba
Candaba is a municipality in the Philippine province of Pampanga known for its vast wetlands and rich bird-watching sites.
-
C.
Shabara
Shabara was an early Indian philosopher and commentator best known for his influential exegesis on the Purva Mimamsa school of Hindu philosophy.
-
D.
Baddo
Baddo is the popular stage name of Nigerian rapper and singer Olamide, known for his influential role in contemporary Afrobeats and street-hop music.
-
E.
Baddo
Baddo was a Visigothic queen consort, known as the wife of King Reccared I of the Visigoths in late 6th-century Hispania.
- 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_69bd443aa1f88190abb992d138f2cf42 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd742a59448190918766c261cfa13d |
completed | March 20, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb0fd25c081909ddf2d8eb77f33e7 |
completed | March 21, 2026, 2:53 p.m. |
Created at: March 20, 2026, 1:38 p.m.