Triple
T18031203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph "Jody" Summers |
E431393
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Jo-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-Jo | Statement: [Joseph "Jody" Summers, hasChild, Jo-Jo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jo-Jo Context triple: [Joseph "Jody" Summers, hasChild, Jo-Jo]
-
A.
Jo-Jo
chosen
Jo-Jo is a young child character from the film "Baby Boy," appearing as the son of Yvette.
-
B.
Jo Jo
Jo Jo is a screenwriter known for contributing to the script of the 1941 Technicolor drama film "Blood and Sand."
-
C.
Mojo Jojo
Mojo Jojo is the main simian supervillain in *The Powerpuff Girls*, known for his genius-level intellect, elaborate evil schemes, and distinctive exposed-brain helmet.
-
D.
Jo Jo Laine
Jo Jo Laine was an American model and socialite known for her high-profile relationships in the rock music scene, including her marriage to musician Denny Laine.
-
E.
Jojo
"Jojo" is a French-language song by Belgian singer-songwriter Jacques Brel, known for its emotional depth and storytelling about friendship and loss.
- 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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4be35a70081909d24d36506d18131 |
completed | April 19, 2026, 11:36 a.m. |
Created at: April 10, 2026, 10:25 a.m.