Triple
T11368309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niamh Algar |
E269270
|
entity |
| Predicate | hasActedIn |
P15620
|
FINISHED |
| Object | Pure |
E921721
|
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: Pure | Statement: [Niamh Algar, hasActedIn, Pure]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pure Context triple: [Niamh Algar, hasActedIn, Pure]
-
A.
Pure
Pure is the debut EP by American noise rock band The Jesus Lizard, showcasing their early abrasive sound and setting the stage for their later influential releases.
-
B.
Pure
chosen
Pure is a British television comedy-drama series that follows a young woman struggling with intrusive sexual thoughts and undiagnosed OCD.
-
C.
Too Pure
Too Pure was an influential British independent record label known for releasing innovative alternative and indie rock music in the 1990s and 2000s.
-
D.
Someone Purer
"Someone Purer" is an anthemic indie rock song by British band Mystery Jets, known for its soaring melody and introspective lyrics about redemption and self-discovery.
-
E.
Sweet
Sweet is a surname most notably associated with Ossian Sweet, an African American physician whose 1925 trial became a landmark case in the fight against racial housing segregation in the United States.
- 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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea89e1148190b0ca29db9d7e2cbd |
completed | April 9, 2026, 6:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58bdaabd48190ab533c1c7f3b5fd8 |
completed | April 20, 2026, 2:13 a.m. |
Created at: April 8, 2026, 9:33 p.m.