Triple
T20391125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C2 Pictures |
E498085
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Basic |
—
|
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: Basic | Statement: [C2 Pictures, notableWork, Basic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Basic Context triple: [C2 Pictures, notableWork, Basic]
-
A.
Basic
Basic is a discount cigarette brand produced and marketed by Philip Morris USA.
-
B.
Basic
chosen
Basic is a 2003 mystery-thriller film directed by John McTiernan, centered on a complex investigation into the disappearance of U.S. Army Rangers during a training mission in Panama.
-
C.
Basic
Basic is a simple HTTP authentication scheme defined in RFC 2617 that transmits user credentials encoded in Base64, typically over a secure transport like HTTPS.
-
D.
Basic
Basic is the common shorthand name for Galactic Basic Standard, the primary lingua franca used for communication across the Star Wars galaxy.
-
E.
BASIC
BASIC is a family of high-level, beginner-friendly programming languages originally designed to make computer programming more accessible to non-experts.
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790f8d9c819093038f6bb6f47a92 |
completed | April 20, 2026, 7:05 p.m. |
Created at: April 16, 2026, 11:28 a.m.