Triple
T14990387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sleepover |
E373818
|
entity |
| Predicate | starred |
P5563
|
FINISHED |
| Object | Mika Boorem |
E878901
|
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: Mika Boorem | Statement: [Sleepover, starred, Mika Boorem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mika Boorem Context triple: [Sleepover, starred, Mika Boorem]
-
A.
Mika Boorem
chosen
Mika Boorem is an American actress known for her roles in films such as "Blue Crush," "Hearts in Atlantis," and "Along Came a Spider."
-
B.
Mika Newton
Mika Newton is a Ukrainian pop and rock singer best known internationally for representing Ukraine in the Eurovision Song Contest 2011 with the song "Angel."
-
C.
Mika Guillory
Mika Guillory is a music producer known for work on the pop/R&B album "Songs About Girls."
-
D.
Miko Hughes
Miko Hughes is an American former child actor best known for his memorable roles in films like "Pet Sematary," "Kindergarten Cop," and "Apollo 13," as well as the TV series "Full House."
-
E.
Mikal Gilmore
Mikal Gilmore is an American journalist and author best known for his memoir "Shot in the Heart," which explores the troubled history of his family and his brother Gary Gilmore.
- 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.