Triple
T10810185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ira Levin |
E255076
|
entity |
| Predicate | wrote |
P2831
|
FINISHED |
| Object | Sliver |
E357006
|
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: Sliver | Statement: [Ira Levin, wrote, Sliver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sliver Context triple: [Ira Levin, wrote, Sliver]
-
A.
Sliver
chosen
Sliver is a 1993 erotic thriller film, based on an Ira Levin novel and starring Sharon Stone, about a woman who discovers disturbing surveillance and secrets in her New York apartment building.
-
B.
Sylver
Sylver is a Belgian Eurodance and trance music group known for early-2000s club hits like "Turn the Tide" and "Forgiven."
-
C.
Silfur
Silfur is a contemplative modern classical album by composer and pianist Dustin O’Halloran, characterized by intimate piano pieces and atmospheric, minimalist arrangements.
-
D.
The Crystal
The Crystal is a landmark sustainable building and exhibition center in London known for its distinctive glass architecture and focus on urban sustainability and green technologies.
-
E.
Alfursan Silver
Alfursan Silver is a mid-level frequent flyer status in Saudia’s Alfursan loyalty program that offers members enhanced travel benefits such as bonus miles and priority services.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733b6efc48190bb64b5a8fac843c4 |
completed | April 9, 2026, 5:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de8526237881908dc3b25b16de7871 |
completed | April 14, 2026, 6:19 p.m. |
Created at: April 8, 2026, 9:18 p.m.