Triple
T22916408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Dawn |
E568743
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Charlie Sheen |
—
|
NE NERFINISHED |
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: Charlie Sheen | Statement: [Red Dawn, stars, Charlie Sheen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charlie Sheen Context triple: [Red Dawn, stars, Charlie Sheen]
-
A.
Charlie Sheen
chosen
Charlie Sheen is an American actor best known for his roles in films like "Platoon" and the TV sitcom "Two and a Half Men," as well as his highly publicized personal life.
-
B.
Denis Leary
Denis Leary is an American actor and comedian known for his acerbic stand-up style and roles in projects like the TV series "Rescue Me" and the "Ice Age" film franchise.
-
C.
Sheen
Sheen is a central protagonist in Piers Anthony's "Apprentice Adept" science fantasy series, known for navigating the dual worlds of magic and technology.
-
D.
Sheen
Sheen is a historic area in southwest London, England, known for its royal connections and the former site of Sheen Palace.
-
E.
Chevy Chase
Chevy Chase is an American comedian and actor best known for his work on "Saturday Night Live" and the "National Lampoon's Vacation" film series.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1807a14648190b5d5f7d926f19320 |
completed | April 29, 2026, 3:52 a.m. |
Created at: April 17, 2026, 3:42 p.m.