Triple
T10717395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woohoo |
E252712
|
entity |
| Predicate | songwriter |
P1141
|
FINISHED |
| Object | Jamal Jones |
E591622
|
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: Jamal Jones | Statement: [Woohoo, songwriter, Jamal Jones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jamal Jones Context triple: [Woohoo, songwriter, Jamal Jones]
-
A.
Jamal Jones
Jamal Jones is a songwriter and producer best known for his work on the hit hip-hop track "A Milli."
-
B.
Jamal Jones
Jamal Jones is a writer associated with the publication Glamorous, known for contributing written work to its content.
-
C.
Jamal Anderson
Jamal Anderson is a former NFL running back best known for his Pro Bowl career with the Atlanta Falcons and popularizing the "Dirty Bird" touchdown celebration.
-
D.
Jamal Jeffries
Jamal Jeffries is the fictional basketball player who disguises himself as a woman to continue his career in the sports comedy film "Juwanna Mann."
-
E.
Jamaal Bowman
Jamaal Bowman is a progressive Democratic politician and former middle school principal who has served as a U.S. Representative from New York.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6ff3566e88190b5c0c6d1b159dd45 |
completed | April 9, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbb71dd6f88190beb99ca75914fb09 |
completed | April 12, 2026, 3:15 p.m. |
Created at: April 8, 2026, 9:13 p.m.