Triple
T3630362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kicking & Screaming |
E76939
|
entity |
| Predicate | storyBy |
P1955
|
FINISHED |
| Object | Leo Benvenuti |
E526143
|
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: Leo Benvenuti | Statement: [Kicking & Screaming, storyBy, Leo Benvenuti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leo Benvenuti Context triple: [Kicking & Screaming, storyBy, Leo Benvenuti]
-
A.
Leo Benvenuti
chosen
Leo Benvenuti is an American screenwriter best known for co-writing popular family comedies such as "The Santa Clause" and "Kicking & Screaming."
-
B.
Marco Barricelli
Marco Barricelli is an Italian-American actor and theatre director known for his work on stage and in voice roles for film and television.
-
C.
Guido De Rosso
Guido De Rosso is an Italian former professional road cyclist known for his strong stage-race performances in the early 1960s.
-
D.
Enzo Scifo
Enzo Scifo is a former Belgian attacking midfielder renowned for his playmaking skills and influential performances for both the Belgian national team and top European clubs in the 1980s and 1990s.
-
E.
Leo Rossi
Leo Rossi is an American character actor known for his supporting roles in crime dramas and thrillers in film and television.
- 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_69ad85dc03948190b35b7189e4175bcc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc300223881909019982ebf194f78 |
completed | March 8, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfb12cd0e4819082403092672f9fe8 |
completed | March 22, 2026, 9:06 a.m. |
Created at: March 8, 2026, 3:23 p.m.