Triple
T13372931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Leave (Get Out)" |
E319111
|
entity |
| Predicate | includedInAlbum |
P1925
|
FINISHED |
| Object | "JoJo" |
E814412
|
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: "JoJo" | Statement: ["Leave (Get Out)", includedInAlbum, "JoJo"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: "JoJo" Context triple: ["Leave (Get Out)", includedInAlbum, "JoJo"]
-
A.
Jojo
"Jojo" is a French-language song by Belgian singer-songwriter Jacques Brel, known for its emotional depth and storytelling about friendship and loss.
-
B.
Jojo
chosen
"Jojo" is a smooth, jazz-inflected soft rock song by Boz Scaggs, released in 1980 and known for its sophisticated groove and storytelling lyrics.
-
C.
Jo Jo
Jo Jo is a screenwriter known for contributing to the script of the 1941 Technicolor drama film "Blood and Sand."
-
D.
Yojo
Yojo is the small wooden idol and personal god of the harpooner Queequeg in Herman Melville’s novel "Moby-Dick."
-
E.
Mojo Jojo
Mojo Jojo is the main simian supervillain in *The Powerpuff Girls*, known for his genius-level intellect, elaborate evil schemes, and distinctive exposed-brain helmet.
- 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_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadcd8950481909785a2060f43b6ed |
completed | April 11, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f72682c7f08190b8553ca22734df27 |
completed | May 3, 2026, 10:42 a.m. |
Created at: April 9, 2026, 9:33 p.m.