Triple
T11737030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ari Wegner |
E279055
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Strangerland |
E802559
|
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: Strangerland | Statement: [Ari Wegner, notableWork, Strangerland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Strangerland Context triple: [Ari Wegner, notableWork, Strangerland]
-
A.
Strangerland
chosen
Strangerland is a 2015 Australian mystery drama film set in a remote desert town, following parents whose children disappear amid a dust storm.
-
B.
Strangeland
Strangeland is a song by the American rock band Green Day from their early compilation album "Kerplunk."
-
C.
Strangeland
Strangeland is a confessional memoir by British artist Tracey Emin, exploring her turbulent childhood, relationships, and the experiences that shaped her provocative artistic persona.
-
D.
Strangeland
Strangeland is a 1998 horror film written by and starring Twisted Sister frontman Dee Snider, known for its sadistic internet predator villain and body-modification themes.
-
E.
Stranger
Stranger is a song by the American rock band Glitter.
- 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4edced48190b7a59dd45921828e |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f019b318188190bfb7effcf42974d2 |
completed | April 28, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:41 p.m.