Triple
T14348235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack Hody Johnson |
E355783
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Banana Pancakes |
E341464
|
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: Banana Pancakes | Statement: [Jack Hody Johnson, notableSong, Banana Pancakes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Banana Pancakes Context triple: [Jack Hody Johnson, notableSong, Banana Pancakes]
-
A.
Banana Pancakes
chosen
"Banana Pancakes" is a laid-back, acoustic surf-folk song by Jack Johnson that became one of his signature mellow, feel-good tracks.
-
B.
Banana Wings
Banana Wings is a long-running British science fiction fanzine known for its thoughtful commentary, fan writing, and multiple Hugo Award wins.
-
C.
Flapjacks
Flapjacks is a song by American R&B and soul singer Dwele, showcasing his smooth vocal style and laid-back, groove-oriented production.
-
D.
Bananas
Bananas is a 1971 satirical comedy film directed by and starring Woody Allen, known for its absurd political humor and farcical take on revolution in a fictional Latin American country.
-
E.
Bananas
Bananas is a fictional bear character known as Bananas T. Bear, typically depicted in children’s entertainment or media.
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8e8d081c8190ac805726a3e98f4c |
completed | April 14, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd46a12ad08190a2f0dc5890ed5ce9 |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 10, 2026, 1:14 a.m.