Triple
T10515559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Night Dreamer |
E248020
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object | JuJu |
E248018
|
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: JuJu | Statement: [Night Dreamer, followedBy, JuJu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JuJu Context triple: [Night Dreamer, followedBy, JuJu]
-
A.
JuJu
chosen
JuJu is a 1965 hard bop jazz album by saxophonist Wayne Shorter, noted for its adventurous compositions and contributions to the post-bop canon.
-
B.
JoJo
JoJo is an American singer and songwriter known for her powerful vocals and early 2000s pop and R&B hits like "Leave (Get Out)" and "Too Little Too Late."
-
C.
JJ
JJ is one of the central protagonists in Nick Hornby’s novel "A Long Way Down," a disillusioned American musician whose failed career and personal struggles lead him to contemplate suicide alongside three other strangers.
-
D.
JJ
JJ is the IATA airline code for LATAM Airlines Brasil, a major Brazilian carrier within the LATAM Airlines Group.
-
E.
JI
JI is the IATA airline designator assigned to Meraj Airlines, an Iranian passenger carrier.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509cbacb08190a446c864b97823ad |
completed | April 7, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d933e4ae048190be51a02c571fab8b |
completed | April 10, 2026, 5:31 p.m. |
Created at: April 6, 2026, 12:28 p.m.