Triple
T6635469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Big Boodle |
E150438
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Gia Scala |
E255031
|
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: Gia Scala | Statement: [The Big Boodle, castMember, Gia Scala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gia Scala Context triple: [The Big Boodle, castMember, Gia Scala]
-
A.
Gia Scala
chosen
Gia Scala was an Italian-born British-American actress best known for her roles in 1950s and 1960s war and adventure films.
-
B.
Giada Colagrande
Giada Colagrande is an Italian film director, screenwriter, and actress known for her art-house films and frequent collaborations with her husband, actor Willem Dafoe.
-
C.
Francesca Lo Schiavo
Francesca Lo Schiavo is an acclaimed Italian set decorator and art director, renowned for her lavish period designs and multiple Academy Award-winning work on major international films.
-
D.
Giovanna Mezzogiorno
Giovanna Mezzogiorno is an acclaimed Italian film and stage actress known for her intense, nuanced performances in European cinema.
-
E.
Chiara Nappi
Chiara Nappi is an Italian theoretical physicist known for her work in string theory and mathematical physics.
- 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_69c687f0ceb08190bf40807bfc605fa5 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6afcd9a608190a949eb55766d5701 |
completed | March 27, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e4518f4881909c0a56df993d2af6 |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 1:59 p.m.