Triple
T5333808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | So in Love with You |
E123374
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object | JoJo |
E319117
|
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: [So in Love with You, featuresArtist, JoJo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JoJo Context triple: [So in Love with You, featuresArtist, JoJo]
-
A.
JoJo
chosen
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."
-
B.
Jo
Jo is a given name used across various cultures, often as a short form of names like Joseph, Joanna, or Jonathan.
-
C.
JuJu
JuJu is a 1965 hard bop jazz album by saxophonist Wayne Shorter, noted for its adventurous compositions and contributions to the post-bop canon.
-
D.
Jos
Jos is a major city in central Nigeria known for its relatively temperate climate, tin mining history, and role as an administrative and commercial center.
-
E.
JO
JO is the two-letter ISO 3166-1 alpha-2 country code assigned to the Hashemite Kingdom of Jordan.
- 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_69bd46477f9081909d242a327d749466 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85ae52c08190968a5567b7e6b794 |
completed | March 20, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf18baeca081909acc11d0c6c89f6d |
completed | March 21, 2026, 10:16 p.m. |
Created at: March 20, 2026, 2 p.m.