Triple
T7623947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blood and Sand (1941 film) |
E172576
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Jo Jo
Jo Jo is a screenwriter known for contributing to the script of the 1941 Technicolor drama film "Blood and Sand."
|
E675873
|
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: [Blood and Sand (1941 film), screenwriter, Jo Jo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jo Jo Context triple: [Blood and Sand (1941 film), screenwriter, Jo Jo]
-
A.
Elvin
Elvin is a masculine given name most notably associated with Hall of Fame basketball player Elvin Hayes.
-
B.
Jojo
"Jojo" is a French-language song by Belgian singer-songwriter Jacques Brel, known for its emotional depth and storytelling about friendship and loss.
-
C.
Jovie
Jovie is a cheerful and kind-hearted department store employee and Buddy's love interest in the Christmas comedy film "Elf."
-
D.
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.
-
E.
Johnny Lovo
Johnny Lovo is a crime boss character in the 1932 gangster film "Scarface," serving as an early mentor and rival to the ambitious protagonist Tony Camonte.
- 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: [Blood and Sand (1941 film), screenwriter, Jo Jo]
Generated description
Jo Jo is a screenwriter known for contributing to the script of the 1941 Technicolor drama film "Blood and Sand."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jo Jo Target entity description: Jo Jo is a screenwriter known for contributing to the script of the 1941 Technicolor drama film "Blood and Sand."
-
A.
Elvin
Elvin is a masculine given name most notably associated with Hall of Fame basketball player Elvin Hayes.
-
B.
Jojo
"Jojo" is a French-language song by Belgian singer-songwriter Jacques Brel, known for its emotional depth and storytelling about friendship and loss.
-
C.
Jovie
Jovie is a cheerful and kind-hearted department store employee and Buddy's love interest in the Christmas comedy film "Elf."
-
D.
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.
-
E.
Johnny Lovo
Johnny Lovo is a crime boss character in the 1932 gangster film "Scarface," serving as an early mentor and rival to the ambitious protagonist Tony Camonte.
- 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_69c699517e348190bd3348b6889200f2 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa65309c8190b95b894c051b003d |
completed | March 27, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8687b8c7481909e8d092b558fea84 |
completed | March 28, 2026, 11:47 p.m. |
| NEDg | Description generation | batch_69c868dfc24c81908355f36323441bfd |
completed | March 28, 2026, 11:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8696a0d588190ab1e6d4c5c4bbb44 |
completed | March 28, 2026, 11:51 p.m. |
Created at: March 27, 2026, 3:56 p.m.