Triple
T13373200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JoJo |
E319117
|
entity |
| Predicate | hasEP |
P22078
|
FINISHED |
| Object |
LoveJo2
LoveJo2 is an extended play (EP) by American singer JoJo that showcases her transition from teen pop star to a more mature R&B-influenced sound.
|
E1036215
|
NE FINISHED |
How this triple was built (4 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: LoveJo2 | Statement: [JoJo, hasEP, LoveJo2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LoveJo2 Context triple: [JoJo, hasEP, LoveJo2]
-
A.
RJOY
RJOY is the IATA airport code for Yao Airport, a regional airport in Yao, Osaka Prefecture, Japan.
-
B.
RJOY
RJOY is the ICAO airport code for Yao Airport, a regional airfield located in Yao, Osaka Prefecture, Japan.
-
C.
Joyn
Joyn is a German streaming platform offering live TV and on-demand content, operated by ProSiebenSat.1 and partners.
-
D.
LEJ
LEJ is the station code for Leipzig Hauptbahnhof, one of Europe’s largest and busiest railway terminals located in Leipzig, Germany.
-
E.
LEJ
LEJ is the IATA airport code for Leipzig/Halle Airport, a major international and cargo hub in central Germany.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: LoveJo2 Triple: [JoJo, hasEP, LoveJo2]
Generated description
LoveJo2 is an extended play (EP) by American singer JoJo that showcases her transition from teen pop star to a more mature R&B-influenced sound.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LoveJo2 Target entity description: LoveJo2 is an extended play (EP) by American singer JoJo that showcases her transition from teen pop star to a more mature R&B-influenced sound.
-
A.
RJOY
RJOY is the IATA airport code for Yao Airport, a regional airport in Yao, Osaka Prefecture, Japan.
-
B.
RJOY
RJOY is the ICAO airport code for Yao Airport, a regional airfield located in Yao, Osaka Prefecture, Japan.
-
C.
Joyn
Joyn is a German streaming platform offering live TV and on-demand content, operated by ProSiebenSat.1 and partners.
-
D.
LEJ
LEJ is the station code for Leipzig Hauptbahnhof, one of Europe’s largest and busiest railway terminals located in Leipzig, Germany.
-
E.
LEJ
LEJ is the IATA airport code for Leipzig/Halle Airport, a major international and cargo hub in central Germany.
- F. None of above. chosen
Provenance (5 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_69dadcda64a48190b53243a763cd175b |
completed | April 11, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f72682c7f08190b8553ca22734df27 |
completed | May 3, 2026, 10:42 a.m. |
| NEDg | Description generation | batch_69f7270bf9308190a3e9427ffce0e3ee |
completed | May 3, 2026, 10:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f727d063c4819084b4990a0d759f79 |
completed | May 3, 2026, 10:47 a.m. |
Created at: April 9, 2026, 9:33 p.m.