Triple
T11235904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lawn Dogs |
E265939
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | DNA Films |
E258397
|
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: DNA Films | Statement: [Lawn Dogs, productionCompany, DNA Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DNA Films Context triple: [Lawn Dogs, productionCompany, DNA Films]
-
A.
DNA Films
chosen
DNA Films is a British film production company known for producing notable movies such as "28 Days Later" and other critically acclaimed features.
-
B.
DNA
DNA (deoxyribonucleic acid) is the hereditary molecule in almost all living organisms, encoding genetic instructions that guide development, function, and reproduction.
-
C.
DNA
DNA is the unicameral legislative body and main law-making institution of the Republic of Suriname.
-
D.
DNA
DNA is a major social-democratic political party in Norway, historically one of the country’s dominant governing parties.
-
E.
DNAA
DNAA is the ICAO airport code for Nnamdi Azikiwe International Airport, the main international gateway serving Abuja, Nigeria’s capital city.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e904cf888190826fc964f76b5cb2 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ad6308f8819085652d6c529ac821 |
completed | April 19, 2026, 10:24 a.m. |
Created at: April 8, 2026, 9:30 p.m.