Triple
T22820907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Jo |
E565225
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Jo |
—
|
NE NERFINISHED |
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: Jo | Statement: [Mary Jo, hasPart, Jo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jo Context triple: [Mary Jo, hasPart, Jo]
-
A.
Jo
chosen
Jo is a given name used across various cultures, often as a short form of names like Joseph, Joanna, or Jonathan.
-
B.
JoJo
JoJo is a reality television personality and singer best known for appearing on WWE’s show Total Divas as a cast member and ring announcer.
-
C.
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."
-
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.
Jon
Jon is a masculine given name, often used as a shortened form or variant of names like Jonathan or John.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458426188190b58b8ab4844fe420 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17dcffdd88190a5f9c780c71b5053 |
completed | April 29, 2026, 3:41 a.m. |
Created at: April 17, 2026, 3:33 p.m.