Triple
T22315979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tisa Farrow |
E551642
|
entity |
| Predicate | workedWith |
P398
|
FINISHED |
| Object | Joe D'Amato |
—
|
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: Joe D'Amato | Statement: [Tisa Farrow, workedWith, Joe D'Amato]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe D'Amato Context triple: [Tisa Farrow, workedWith, Joe D'Amato]
-
A.
Joe D'Amato
chosen
Joe D'Amato was an Italian filmmaker best known for his prolific work in low-budget horror and erotic cinema from the 1970s through the 1990s.
-
B.
Christopher D'Amato
Christopher D'Amato is known primarily as the son of former U.S. Senator Alfonse D'Amato.
-
C.
Lucio Fulci
Lucio Fulci was an Italian film director, screenwriter, and actor best known for his influential and graphic horror and giallo films of the 1970s and 1980s.
-
D.
Eusebio Bava
Eusebio Bava was a 19th-century Italian general and statesman who played a key role in the military campaigns leading up to the unification of Italy.
-
E.
Dario Argento
Dario Argento is an Italian filmmaker renowned as a master of giallo and horror cinema, known for his visually stylized, psychologically intense thrillers.
- 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_69e11e4776588190abb21e5cea79973f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1575287688190aa642bb49b24f5a1 |
completed | April 29, 2026, 12:56 a.m. |
Created at: April 16, 2026, 8:42 p.m.