Triple
T11680951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MJ the Musical |
E277611
|
entity |
| Predicate | hasNotableSong |
P20452
|
FINISHED |
| Object | Jam |
E797142
|
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: Jam | Statement: [MJ the Musical, hasNotableSong, Jam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jam Context triple: [MJ the Musical, hasNotableSong, Jam]
-
A.
Jam
Jam is a sweet, spreadable fruit preserve made by cooking fruit with sugar until it thickens.
-
B.
Jam
Jam is a royal title historically used by rulers in parts of western India, particularly associated with the Jadeja Rajput dynasty of regions like Nawanagar (now Jamnagar) in Gujarat.
-
C.
Jam
chosen
"Jam" is a high-energy 1991 dance-pop and new jack swing song by Michael Jackson, known for its powerful beats and socially conscious lyrics.
-
D.
Jam
"Jam" is a 2006 British comedy-drama film featuring Jason Flemyng in a story about old friends reuniting for a chaotic weekend.
-
E.
Jamz
Jamz is a studio album by Ghanaian rapper Sarkodie that blends Afrobeats and hip-hop influences and features collaborations with several prominent African artists.
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a461b0908190bef4e1c6777affcf |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef141134bc81908c0cfb0a3711c115 |
completed | April 27, 2026, 7:45 a.m. |
Created at: April 8, 2026, 9:40 p.m.