Triple
T9801792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Canton |
E237854
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | 300 |
E793297
|
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: 300 | Statement: [Mark Canton, notableWork, 300]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 300 Context triple: [Mark Canton, notableWork, 300]
-
A.
300
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.
The 305
The 305 is a nickname commonly used to refer to Miami, Florida, derived from its original area code.
-
E.
300 (film)
chosen
300 is a stylized 2006 epic action film directed by Zack Snyder that dramatizes the Battle of Thermopylae through highly visual, graphic novel-inspired storytelling.
- 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_69ca84dd4608819097ff4ed00feca280 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda62b41048190bcef70a7591830c6 |
completed | April 1, 2026, 11:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c44edac48190a44fdfb858d0dbba |
completed | April 5, 2026, 2:09 a.m. |
Created at: March 30, 2026, 8:29 p.m.