Triple
T18594606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Camp |
E454459
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Skylar Astin |
—
|
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: Skylar Astin | Statement: [Anna Camp, spouse, Skylar Astin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skylar Astin Context triple: [Anna Camp, spouse, Skylar Astin]
-
A.
Skylar Astin
chosen
Skylar Astin is an American actor and singer best known for his roles in the Pitch Perfect film series and various television comedies and musicals.
-
B.
Mackenzie Astin
Mackenzie Astin is an American actor known for his roles in film and television, including the TV series "The Facts of Life."
-
C.
Tye Sheridan
Tye Sheridan is an American actor known for roles in films such as Mud, Ready Player One, and the X-Men series, where he portrays the young Cyclops.
-
D.
Tyler Posey
Tyler Posey is an American actor and musician best known for his lead role as Scott McCall on the MTV series "Teen Wolf."
-
E.
Cameron Monaghan
Cameron Monaghan is an American actor and model best known for his roles in the TV series "Shameless" and "Gotham."
- 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e545b8d76881909db1539c7150befb |
completed | April 19, 2026, 9:14 p.m. |
Created at: April 10, 2026, 11:44 a.m.