Triple
T14990395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sleepover |
E373818
|
entity |
| Predicate | starred |
P5563
|
FINISHED |
| Object | Evan Peters |
E322077
|
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: Evan Peters | Statement: [Sleepover, starred, Evan Peters]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Evan Peters Context triple: [Sleepover, starred, Evan Peters]
-
A.
Evan Peters
chosen
Evan Peters is an American actor best known for his versatile and often dark roles in the anthology series "American Horror Story" and his Emmy-winning performance as the title character in "Mare of Easttown."
-
B.
Ezra Miller
Ezra Miller is an American actor best known for roles in films such as "The Perks of Being a Wallflower," the "Fantastic Beasts" series, and as the Flash in the DC Extended Universe.
-
C.
Declan Whitebloom
Declan Whitebloom is a British music video director known for his visually polished work with major pop artists.
-
D.
Dylan O'Brien
Dylan O'Brien is an American actor best known for starring in the "Maze Runner" film series and the TV show "Teen Wolf."
-
E.
Michael Boatman
Michael Boatman is an American actor and writer best known for his comedic and dramatic television roles in series such as Spin City and The Good Wife.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7148a308190a687f4d0d61397c6 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe969683348190bb4688f24227af88 |
completed | May 9, 2026, 2:06 a.m. |
Created at: April 10, 2026, 2:53 a.m.