Triple
T7748162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zabriskie Point |
E175684
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Franco Arcalli |
E385019
|
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: Franco Arcalli | Statement: [Zabriskie Point, editor, Franco Arcalli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Franco Arcalli Context triple: [Zabriskie Point, editor, Franco Arcalli]
-
A.
Franco Arcalli
chosen
Franco Arcalli was an Italian film editor and screenwriter known for his innovative work on influential European art films of the 1960s and 1970s.
-
B.
Guido Quaroni
Guido Quaroni is an Italian-born Pixar technical director and voice actor best known for voicing the character Guido in the animated film "Cars."
-
C.
Carlo Rainaldi
Carlo Rainaldi was a prominent 17th-century Italian Baroque architect known for designing several major churches and urban monuments in Rome.
-
D.
Giulio Berruti
Giulio Berruti is an Italian actor and former fashion model known for his roles in romantic comedies and drama films.
-
E.
Enrico Colantoni
Enrico Colantoni is a Canadian actor best known for his roles in television series such as Veronica Mars and Just Shoot Me!, as well as films like Galaxy Quest.
- 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_69c69960b3588190a53aa590d31d9544 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c703affb6c8190adf4723dc1139edf |
completed | March 27, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d552df34e08190a6ba74f33bc79b02 |
completed | April 7, 2026, 6:54 p.m. |
Created at: March 27, 2026, 4:08 p.m.