Triple
T13694867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yvette (Baby Boy) |
E328357
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Jo-Jo
Jo-Jo is a young child character from the film "Baby Boy," appearing as the son of Yvette.
|
E1054559
|
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: Jo-Jo | Statement: [Yvette (Baby Boy), hasChild, Jo-Jo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jo-Jo Context triple: [Yvette (Baby Boy), hasChild, Jo-Jo]
-
A.
Jo Jo
Jo Jo is a screenwriter known for contributing to the script of the 1941 Technicolor drama film "Blood and Sand."
-
B.
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.
-
C.
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.
-
D.
Jojo
"Jojo" is a smooth, jazz-inflected soft rock song by Boz Scaggs, released in 1980 and known for its sophisticated groove and storytelling lyrics.
-
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. 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: Jo-Jo Triple: [Yvette (Baby Boy), hasChild, Jo-Jo]
Generated description
Jo-Jo is a young child character from the film "Baby Boy," appearing as the son of Yvette.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jo-Jo Target entity description: Jo-Jo is a young child character from the film "Baby Boy," appearing as the son of Yvette.
-
A.
Jo Jo
Jo Jo is a screenwriter known for contributing to the script of the 1941 Technicolor drama film "Blood and Sand."
-
B.
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.
-
C.
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.
-
D.
Jojo
"Jojo" is a French-language song by Belgian singer-songwriter Jacques Brel, known for its emotional depth and storytelling about friendship and loss.
-
E.
Jojo
"Jojo" is a smooth, jazz-inflected soft rock song by Boz Scaggs, released in 1980 and known for its sophisticated groove and storytelling lyrics.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc8773f388190b2413b1e05fd5fd7 |
completed | April 12, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f794514afc8190b334b1fc74a6cdd5 |
completed | May 3, 2026, 6:30 p.m. |
| NEDg | Description generation | batch_69f795e361c48190b37060312e7df181 |
completed | May 3, 2026, 6:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f796e5c60c8190a19389bc4cdbd658 |
completed | May 3, 2026, 6:41 p.m. |
Created at: April 9, 2026, 9:54 p.m.