Triple
T23188460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matthew Hannam |
E579661
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Antiviral |
—
|
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: Antiviral | Statement: [Matthew Hannam, notableWork, Antiviral]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Antiviral Context triple: [Matthew Hannam, notableWork, Antiviral]
-
A.
Antiviral
chosen
Antiviral is a 2012 science fiction horror film directed by Brandon Cronenberg that explores a near-future world where celebrity illnesses are harvested and sold to obsessed fans.
-
B.
zanamivir
Zanamivir is an inhaled neuraminidase inhibitor antiviral drug used to treat and prevent influenza A and B infections, including strains such as the 2009 H1N1 virus.
-
C.
oseltamivir
Oseltamivir is an oral antiviral medication (commonly known by the brand name Tamiflu) used to treat and prevent influenza, including pandemic strains such as 2009 H1N1.
-
D.
Viral
"Viral" is a 2016 American horror-thriller film starring Analeigh Tipton that follows a teenage girl dealing with a deadly parasitic outbreak in her town.
-
E.
peramivir
Peramivir is an antiviral neuraminidase inhibitor used primarily for the treatment of acute influenza infections.
- 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_69e245ff8000819090d12008805315b7 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18fd592248190a7e705c554885cd1 |
completed | April 29, 2026, 4:57 a.m. |
Created at: April 17, 2026, 4:05 p.m.