Triple
T20261165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gianni Nunnari |
E498838
|
entity |
| Predicate | produced |
P490
|
FINISHED |
| Object | 300 |
—
|
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: 300 | Statement: [Gianni Nunnari, produced, 300]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 300 Context triple: [Gianni Nunnari, produced, 300]
-
A.
300
chosen
300 is a 2006 stylized action film directed by Zack Snyder that dramatizes the Battle of Thermopylae through hyper-visual, graphic novel-inspired imagery.
-
B.
30
30 is Adele’s critically acclaimed third studio album, known for its soulful ballads and themes of heartbreak and self-reflection.
-
C.
300 (comic series)
300 (comic series) is a graphic novel by Frank Miller, with art by Lynn Varley, that stylizes and dramatizes the Battle of Thermopylae through bold visuals and mythic storytelling.
-
D.
300 (franchise)
300 (franchise) is a multimedia series centered on stylized, historically inspired action stories about the Battle of Thermopylae and related Spartan warfare, originating from Frank Miller’s graphic novel and popularized by the 2006 film adaptation and its sequel.
-
E.
Cap 3000
Cap 3000 is a large, well-known shopping mall on the French Riviera near Nice, featuring numerous international and French retail brands, dining options, and services.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e674ca77c081909cd2f44ccfe3662d |
completed | April 20, 2026, 6:47 p.m. |
Created at: April 11, 2026, 11:41 p.m.