Triple
T33874646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Zealand Film and TV Award for Best Film |
E868321
|
entity |
| Predicate | judgingBasis |
P17142
|
FINISHED |
| Object | merit-based selection |
—
|
LITERAL 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: merit-based selection | Statement: [New Zealand Film and TV Award for Best Film, judgingBasis, merit-based selection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: judgingBasis Context triple: [New Zealand Film and TV Award for Best Film, judgingBasis, merit-based selection]
-
A.
judgedBy
Indicates that one entity evaluates, assesses, or forms an opinion about another entity, often in an official or critical capacity.
-
B.
evaluationBasis
chosen
Indicates the criteria, standards, or reference framework used to judge, assess, or measure something in an evaluation process.
-
C.
judgedOn
Indicates that an entity is evaluated or assessed based on a specified criterion, standard, or aspect.
-
D.
judgedAs
Indicates that one entity evaluates or forms an opinion about another entity according to some criteria or standard.
-
E.
decisionBasis
Indicates the underlying reason, criterion, or rationale on which a decision is made.
- F. None of above.
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_69f34995b81c8190acdb45cea5a10eff |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70105343c81908f6b8d187d7c06bd |
completed | May 3, 2026, 8:02 a.m. |
| PD | Predicate disambiguation | batch_69f6fc5a4f7881909324eb3c20ca96f1 |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:48 a.m.