Triple
T16010702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Cage |
E388328
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Fahrenheit |
E1189737
|
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: Fahrenheit | Statement: [David Cage, notableWork, Fahrenheit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fahrenheit Context triple: [David Cage, notableWork, Fahrenheit]
-
A.
Fahrenheit
chosen
Fahrenheit is an interactive drama action-adventure video game by Quantic Dream, known for its cinematic storytelling and choice-driven gameplay.
-
B.
Fahrenheit
Fahrenheit is a temperature scale commonly used in the United States and a few other countries, where water freezes at 32 degrees and boils at 212 degrees under standard conditions.
-
C.
Fahrenheit
Fahrenheit is a steel roller coaster at Hersheypark in Pennsylvania, known for its beyond-vertical drop and multiple inversions, designed and manufactured by Intamin.
-
D.
Fahrenheit 88
Fahrenheit 88 is a modern shopping mall in Kuala Lumpur’s Bukit Bintang district, known for its fashion retailers, lifestyle outlets, and youthful urban vibe.
-
E.
Fahrenheit 11/9
Fahrenheit 11/9 is a political documentary film by Michael Moore that critiques the presidency of Donald Trump and the broader state of American democracy.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1829119648190aef5b5e84b26d898 |
completed | April 17, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe470cd5881909cc0c48b3a540d61 |
completed | May 10, 2026, 1:50 a.m. |
Created at: April 10, 2026, 4:55 a.m.