Triple
T10632774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gabriel Macht |
E250499
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Whiteout
Whiteout is a 2009 crime thriller film set in Antarctica, based on the graphic novel of the same name, in which Gabriel Macht co-stars alongside Kate Beckinsale.
|
E876361
|
NE FINISHED |
How this triple was built (4 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: Whiteout | Statement: [Gabriel Macht, notableWork, Whiteout]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Whiteout Context triple: [Gabriel Macht, notableWork, Whiteout]
-
A.
Winter Kills
Winter Kills is a 1979 darkly satirical political thriller film about a conspiracy surrounding the assassination of a U.S. president, noted for its star-studded cast and cult status.
-
B.
Thaw
Thaw is a surname most notably associated with English actor John Thaw, famed for his role as Inspector Morse.
-
C.
Cold World
Cold World is a track from GZA's critically acclaimed hip-hop album "Liquid Swords," known for its dark, atmospheric production and intricate lyricism.
-
D.
Thunder Snow
Thunder Snow is a prominent Irish-bred Thoroughbred racehorse best known for winning back-to-back Dubai World Cups in 2018 and 2019.
-
E.
Winterland
Winterland is a small town located on the Burin Peninsula in the Canadian province of Newfoundland and Labrador.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Whiteout Triple: [Gabriel Macht, notableWork, Whiteout]
Generated description
Whiteout is a 2009 crime thriller film set in Antarctica, based on the graphic novel of the same name, in which Gabriel Macht co-stars alongside Kate Beckinsale.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Whiteout Target entity description: Whiteout is a 2009 crime thriller film set in Antarctica, based on the graphic novel of the same name, in which Gabriel Macht co-stars alongside Kate Beckinsale.
-
A.
Winter Kills
Winter Kills is a 1979 darkly satirical political thriller film about a conspiracy surrounding the assassination of a U.S. president, noted for its star-studded cast and cult status.
-
B.
Thaw
Thaw is a surname most notably associated with English actor John Thaw, famed for his role as Inspector Morse.
-
C.
Cold World
Cold World is a track from GZA's critically acclaimed hip-hop album "Liquid Swords," known for its dark, atmospheric production and intricate lyricism.
-
D.
Thunder Snow
Thunder Snow is a prominent Irish-bred Thoroughbred racehorse best known for winning back-to-back Dubai World Cups in 2018 and 2019.
-
E.
Winterland
Winterland is a small town located on the Burin Peninsula in the Canadian province of Newfoundland and Labrador.
- F. None of above. chosen
Provenance (5 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df95f5e88190b34ce3ec972759ef |
completed | April 8, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96bbd64d8819089d55af875d39e45 |
completed | April 10, 2026, 9:29 p.m. |
| NEDg | Description generation | batch_69d9701de92881908c0b8f05eae97e35 |
completed | April 10, 2026, 9:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d970f3f78081909bcb2dae6dae06d5 |
completed | April 10, 2026, 9:51 p.m. |
Created at: April 8, 2026, 9:02 p.m.